Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
1850
Single Precision Score
859
Half Precision Score
2342
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1521
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.6 IPS |
|
|
Image Classification (Q)
|
96% |
2111
394.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
1467
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3386
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2683
3.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
4332
5.12 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
58% |
1448
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
4572
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4230
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1322
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
4592
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8080
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6502
8.36 IPS |
|
|
Style Transfer (Q)
|
87% |
8133
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1301
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
374
499.6 IPS |
|
|
Text Classification (Q)
|
97% |
720
965.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
68% |
1602
30.9 IPS |
