Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
40611
Single Precision Score
48446
Half Precision Score
31504
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dautnestr |
| Upload Date | October 25 2025 12:47 PM |
| Views | 3 |
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% |
17407
3.24 KIPS |
|
|
Image Classification (HP)
|
100% |
18460
3.43 KIPS |
|
|
Image Classification (Q)
|
99% |
15027
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28196
457.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25267
409.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24799
403.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
297031
346.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
529610
618.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
263838
309.0 IPS |
|
|
Object Detection (SP)
|
100% |
20062
1.59 KIPS |
|
|
Object Detection (HP)
|
99% |
21538
1.71 KIPS |
|
|
Object Detection (Q)
|
87% |
17649
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
57041
677.8 IPS |
|
|
Face Detection (HP)
|
100% |
68852
818.1 IPS |
|
|
Face Detection (Q)
|
97% |
46811
558.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
83948
646.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104563
805.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
62725
502.7 IPS |
|
|
Style Transfer (SP)
|
100% |
463120
595.3 IPS |
|
|
Style Transfer (HP)
|
100% |
738998
950.0 IPS |
|
|
Style Transfer (Q)
|
98% |
410769
529.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56342
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71283
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42909
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4874
6.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
3094
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6851
118.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7302
125.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3467
65.0 IPS |
