Micro-Star International Co., Ltd. MS-7B85
Geekbench ML Score
14338
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:16 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B85 |
| Motherboard | Micro-Star International Co., Ltd. B450 GAMING PRO CARBON AC (MS-7B85) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7193
1.35 KIPS |
|
|
Image Classification (F16)
|
100% |
7273
1.36 KIPS |
|
|
Image Classification (I8)
|
100% |
6507
1.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8963
149.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9000
150.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
8344
139.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
102983
124.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
103181
124.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
91773
111.1 IPS |
|
|
Object Detection (F32)
|
100% |
4749
354.5 IPS |
|
|
Object Detection (F16)
|
100% |
4636
346.1 IPS |
|
|
Object Detection (I8)
|
63% |
4347
324.5 IPS |
|
|
Face Detection (F32)
|
100% |
17433
207.3 IPS |
|
|
Face Detection (F16)
|
100% |
17501
208.1 IPS |
|
|
Face Detection (I8)
|
89% |
15127
179.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
41130
319.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
41777
324.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
35134
272.5 IPS |
|
|
Style Transfer (F32)
|
100% |
171852
226.1 IPS |
|
|
Style Transfer (F16)
|
100% |
171418
225.5 IPS |
|
|
Style Transfer (I8)
|
98% |
153558
202.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28201
1.01 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
28185
1.01 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21444
765.8 IPS |
|
|
Text Classification (F32)
|
100% |
2407
3.46 KIPS |
|
|
Text Classification (F16)
|
100% |
2410
3.46 KIPS |
|
|
Text Classification (I8)
|
98% |
1602
2.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
2583
47.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2635
48.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1706
31.4 IPS |
