Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
39710
Single Precision Score
46977
Half Precision Score
30985
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | MikeSW17 |
| Upload Date | October 16 2025 09:19 PM |
| Views | 4 |
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% |
16356
3.04 KIPS |
|
|
Image Classification (HP)
|
100% |
17774
3.31 KIPS |
|
|
Image Classification (Q)
|
99% |
14073
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27320
442.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24727
400.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24699
401.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
296895
346.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
524935
612.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
260753
305.4 IPS |
|
|
Object Detection (SP)
|
100% |
19613
1.56 KIPS |
|
|
Object Detection (HP)
|
99% |
21090
1.67 KIPS |
|
|
Object Detection (Q)
|
87% |
16527
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
50176
596.2 IPS |
|
|
Face Detection (HP)
|
100% |
56246
668.3 IPS |
|
|
Face Detection (Q)
|
97% |
43942
523.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
85012
655.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106854
823.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
67663
542.2 IPS |
|
|
Style Transfer (SP)
|
100% |
472921
607.9 IPS |
|
|
Style Transfer (HP)
|
100% |
735379
945.3 IPS |
|
|
Style Transfer (Q)
|
98% |
412967
532.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54737
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69294
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44009
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
3075
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6925
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7185
123.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3278
61.5 IPS |
