Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
24917
Single Precision Score
39252
Half Precision Score
15110
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mortonp38 |
| Upload Date | August 30 2025 05:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9980
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
14503
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
6654
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17902
290.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26555
430.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12656
205.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
139037
162.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
400911
467.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
108374
127.0 IPS |
|
|
Object Detection (SP)
|
100% |
12681
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
18901
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
8594
691.3 IPS |
|
|
Face Detection (SP)
|
100% |
33438
397.3 IPS |
|
|
Face Detection (HP)
|
100% |
49377
586.7 IPS |
|
|
Face Detection (Q)
|
97% |
22515
268.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
64578
497.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112324
865.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38088
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
249550
320.8 IPS |
|
|
Style Transfer (HP)
|
100% |
615709
791.5 IPS |
|
|
Style Transfer (Q)
|
98% |
184971
238.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37271
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48462
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20457
757.5 IPS |
|
|
Text Classification (SP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (HP)
|
99% |
3615
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1460
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5040
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4973
85.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1670
31.3 IPS |
