Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
6167
Single Precision Score
5434
Half Precision Score
4282
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 09:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Tesla P4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2232
415.1 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (Q)
|
100% |
1737
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3088
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3261
52.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2566
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
42738
49.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
23836
27.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
33422
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (HP)
|
100% |
2805
222.5 IPS |
|
|
Object Detection (Q)
|
89% |
2057
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
5111
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
5454
64.8 IPS |
|
|
Face Detection (Q)
|
97% |
3964
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14299
110.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11218
86.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
10083
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
68184
87.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38185
49.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50912
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12221
451.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9165
338.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7171
265.5 IPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1348
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
655
877.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1605
27.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1578
27.3 IPS |
|
|
Machine Translation (Q)
|
60% |
709
15.8 IPS |
