Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
40390
Single Precision Score
48380
Half Precision Score
31863
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dautnestr |
| Upload Date | October 10 2025 01:23 PM |
| Views | 9 |
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 | Dengeli |
| 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% |
17499
3.25 KIPS |
|
|
Image Classification (HP)
|
100% |
18534
3.45 KIPS |
|
|
Image Classification (Q)
|
99% |
15184
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28067
455.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24885
403.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25200
409.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
294571
343.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
526869
614.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
260453
305.1 IPS |
|
|
Object Detection (SP)
|
100% |
20142
1.60 KIPS |
|
|
Object Detection (HP)
|
99% |
21827
1.73 KIPS |
|
|
Object Detection (Q)
|
87% |
17782
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
53280
633.1 IPS |
|
|
Face Detection (HP)
|
100% |
65593
779.4 IPS |
|
|
Face Detection (Q)
|
97% |
46963
560.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
79546
612.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105058
809.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
63150
506.1 IPS |
|
|
Style Transfer (SP)
|
100% |
465532
598.4 IPS |
|
|
Style Transfer (HP)
|
100% |
742227
954.1 IPS |
|
|
Style Transfer (Q)
|
98% |
414282
534.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56018
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72262
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43558
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
5058
6.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4803
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
3171
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
7093
122.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7462
128.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3587
67.3 IPS |
