Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
47108
Single Precision Score
69638
Half Precision Score
34576
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| Upload Date | June 22 2025 09:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Ultimate Performance |
| 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% |
17245
3.21 KIPS |
|
|
Image Classification (HP)
|
100% |
22147
4.12 KIPS |
|
|
Image Classification (Q)
|
100% |
14905
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34526
559.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
43729
708.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31998
520.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
398221
464.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
940509
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321422
376.5 IPS |
|
|
Object Detection (SP)
|
100% |
23811
1.89 KIPS |
|
|
Object Detection (HP)
|
100% |
30707
2.44 KIPS |
|
|
Object Detection (Q)
|
85% |
19371
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
71822
853.4 IPS |
|
|
Face Detection (HP)
|
100% |
96174
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
56840
677.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
105270
811.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
185568
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74850
599.5 IPS |
|
|
Style Transfer (SP)
|
100% |
595730
765.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1660013
2.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
497167
641.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72536
2.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92188
3.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51945
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2436
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7018
120.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7092
122.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3073
57.6 IPS |
