Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
8245
Single Precision Score
17916
Half Precision Score
1285
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | manual123 |
| Upload Date | January 22 2026 06:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.28 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7772
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
12199
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
5530
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22290
361.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
97
1.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
17240
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
58410
68.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
941
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
10452
829.1 IPS |
|
|
Object Detection (HP)
|
100% |
16334
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
7376
593.8 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
106
1.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
92847
715.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
591
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
46820
60.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74753
96.1 IPS |
|
|
Style Transfer (Q)
|
98% |
1430
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31644
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44177
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17991
666.2 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1367
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4462
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1505
28.2 IPS |
