Micro-Star International Co., Ltd. MS-7B77
Geekbench ML Score
21396
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:44 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B77 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING M7 AC (MS-7B77) |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
13152
2.46 KIPS |
|
|
Image Classification (F16)
|
100% |
13174
2.47 KIPS |
|
|
Image Classification (I8)
|
100% |
11127
2.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13273
221.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
12902
215.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12145
202.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
263697
319.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
260354
315.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
225991
273.7 IPS |
|
|
Object Detection (F32)
|
100% |
4870
363.5 IPS |
|
|
Object Detection (F16)
|
100% |
4888
364.9 IPS |
|
|
Object Detection (I8)
|
56% |
4511
336.8 IPS |
|
|
Face Detection (F32)
|
100% |
35856
426.3 IPS |
|
|
Face Detection (F16)
|
100% |
35831
426.0 IPS |
|
|
Face Detection (I8)
|
88% |
32239
383.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
69934
542.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
69139
536.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
52692
408.6 IPS |
|
|
Style Transfer (F32)
|
100% |
225566
296.7 IPS |
|
|
Style Transfer (F16)
|
100% |
219576
288.8 IPS |
|
|
Style Transfer (I8)
|
98% |
207383
272.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24854
887.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23680
845.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19021
679.3 IPS |
|
|
Text Classification (F32)
|
100% |
3519
5.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2855
4.10 KIPS |
|
|
Text Classification (I8)
|
98% |
2402
3.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
3900
71.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3909
71.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2727
50.2 IPS |
