Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
30547
Single Precision Score
41867
Half Precision Score
26902
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 08:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14122
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
15959
2.97 KIPS |
|
|
Image Classification (Q)
|
99% |
13335
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17890
290.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20701
335.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22109
359.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
195781
228.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
593500
692.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
169845
198.9 IPS |
|
|
Object Detection (SP)
|
100% |
15933
1.26 KIPS |
|
|
Object Detection (HP)
|
99% |
18594
1.47 KIPS |
|
|
Object Detection (Q)
|
87% |
14802
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
44231
525.6 IPS |
|
|
Face Detection (HP)
|
100% |
51390
610.6 IPS |
|
|
Face Detection (Q)
|
97% |
42591
507.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
81379
627.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
123868
954.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
69089
553.7 IPS |
|
|
Style Transfer (SP)
|
100% |
357526
459.6 IPS |
|
|
Style Transfer (HP)
|
100% |
644559
828.6 IPS |
|
|
Style Transfer (Q)
|
98% |
328009
423.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45539
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72397
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39379
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1893
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6022
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5997
103.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3723
69.8 IPS |
