Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
41095
Single Precision Score
48643
Half Precision Score
32139
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dautnestr |
| Upload Date | October 13 2025 05:08 PM |
| Views | 8 |
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-7D67 |
| Motherboard | Micro-Star International Co., Ltd. PRO X670-P WIFI (MS-7D67) |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17565
3.27 KIPS |
|
|
Image Classification (HP)
|
100% |
18606
3.46 KIPS |
|
|
Image Classification (Q)
|
99% |
15154
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28157
456.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25276
409.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
25391
412.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
294482
343.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
528386
616.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
260663
305.3 IPS |
|
|
Object Detection (SP)
|
100% |
20113
1.60 KIPS |
|
|
Object Detection (HP)
|
99% |
21831
1.73 KIPS |
|
|
Object Detection (Q)
|
87% |
17563
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
59921
712.0 IPS |
|
|
Face Detection (HP)
|
100% |
67180
798.2 IPS |
|
|
Face Detection (Q)
|
97% |
49524
590.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
81084
624.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105781
815.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
64101
513.7 IPS |
|
|
Style Transfer (SP)
|
100% |
472505
607.4 IPS |
|
|
Style Transfer (HP)
|
100% |
742688
954.7 IPS |
|
|
Style Transfer (Q)
|
98% |
418045
539.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56432
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72430
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43713
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
5082
6.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4812
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
3184
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7124
122.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7433
128.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3614
67.8 IPS |
