Micro-Star International Co., Ltd. MS-7C90
Geekbench ML Score
20339
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 09:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C90 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING CARBON WIFI (MS-7C90) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9365
1.75 KIPS |
|
|
Image Classification (F16)
|
100% |
9740
1.82 KIPS |
|
|
Image Classification (I8)
|
100% |
8200
1.53 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13567
226.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
13860
231.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12819
214.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
172345
208.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
171875
208.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
154221
186.8 IPS |
|
|
Object Detection (F32)
|
100% |
5604
418.4 IPS |
|
|
Object Detection (F16)
|
100% |
4951
369.6 IPS |
|
|
Object Detection (I8)
|
56% |
5405
403.5 IPS |
|
|
Face Detection (F32)
|
100% |
30600
363.8 IPS |
|
|
Face Detection (F16)
|
100% |
30759
365.7 IPS |
|
|
Face Detection (I8)
|
89% |
26276
312.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
66467
515.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
62796
487.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
51027
395.7 IPS |
|
|
Style Transfer (F32)
|
100% |
288573
379.6 IPS |
|
|
Style Transfer (F16)
|
100% |
284953
374.8 IPS |
|
|
Style Transfer (I8)
|
98% |
245432
322.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
39253
1.40 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
38436
1.37 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
28904
1.03 KIPS |
|
|
Text Classification (F32)
|
100% |
2423
3.48 KIPS |
|
|
Text Classification (F16)
|
100% |
2474
3.56 KIPS |
|
|
Text Classification (I8)
|
98% |
1612
2.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
3674
67.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3765
69.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2324
42.8 IPS |
