Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
19543
Single Precision Score
32834
Half Precision Score
12730
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Nitroklaus05 |
| Upload Date | March 16 2026 12:27 PM |
| Views | 2 |
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 EDGE WIFI (MS-7C37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7627
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
12300
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
5452
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13218
214.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21889
354.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10583
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
108823
127.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
314367
366.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
86876
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
10148
805.0 IPS |
|
|
Object Detection (HP)
|
100% |
17017
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
7435
598.6 IPS |
|
|
Face Detection (SP)
|
100% |
23930
284.3 IPS |
|
|
Face Detection (HP)
|
100% |
39187
465.6 IPS |
|
|
Face Detection (Q)
|
97% |
17951
214.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
48452
373.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
91357
703.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
31632
253.4 IPS |
|
|
Style Transfer (SP)
|
100% |
185137
238.0 IPS |
|
|
Style Transfer (HP)
|
100% |
461067
592.7 IPS |
|
|
Style Transfer (Q)
|
98% |
138968
179.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31054
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44002
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18033
667.8 IPS |
|
|
Text Classification (SP)
|
100% |
2498
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1354
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4385
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1557
29.2 IPS |
