Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
2558
Single Precision Score
1065
Half Precision Score
3090
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | doconnell565 |
| Upload Date | January 01 2026 10:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2430
452.0 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
96% |
3206
598.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
4309
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8060
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4845
5.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
5267
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
1888
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
58% |
1855
202.7 IPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
5035
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5850
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1448
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6047
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11389
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9163
11.8 IPS |
|
|
Style Transfer (Q)
|
87% |
10194
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1923
71.2 IPS |
|
|
Text Classification (SP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
387
516.7 IPS |
|
|
Text Classification (Q)
|
97% |
629
842.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (Q)
|
68% |
1571
30.4 IPS |
