Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
39131
Single Precision Score
46183
Half Precision Score
30283
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | September 12 2025 11:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16436
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
18096
3.37 KIPS |
|
|
Image Classification (Q)
|
99% |
14049
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27065
438.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24585
398.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
24247
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
297078
346.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
523630
611.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
259198
303.6 IPS |
|
|
Object Detection (SP)
|
100% |
19039
1.51 KIPS |
|
|
Object Detection (HP)
|
99% |
20266
1.61 KIPS |
|
|
Object Detection (Q)
|
87% |
16395
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
50207
596.6 IPS |
|
|
Face Detection (HP)
|
100% |
56596
672.5 IPS |
|
|
Face Detection (Q)
|
97% |
44035
525.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
84513
651.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102772
791.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
61620
493.8 IPS |
|
|
Style Transfer (SP)
|
100% |
470132
604.4 IPS |
|
|
Style Transfer (HP)
|
100% |
728588
936.6 IPS |
|
|
Style Transfer (Q)
|
98% |
416635
537.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54656
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69949
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41756
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4570
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2962
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6590
113.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6902
118.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3205
60.1 IPS |
