Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
46822
Single Precision Score
68922
Half Precision Score
34320
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| Upload Date | June 22 2025 10:04 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% |
17227
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
22172
4.12 KIPS |
|
|
Image Classification (Q)
|
100% |
14747
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34574
560.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
43746
709.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
32018
520.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
394709
460.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
910097
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
318686
373.3 IPS |
|
|
Object Detection (SP)
|
100% |
23802
1.89 KIPS |
|
|
Object Detection (HP)
|
100% |
30827
2.45 KIPS |
|
|
Object Detection (Q)
|
85% |
19573
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
71896
854.3 IPS |
|
|
Face Detection (HP)
|
100% |
95908
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
56703
676.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
105296
811.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
185898
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74679
598.1 IPS |
|
|
Style Transfer (SP)
|
100% |
597446
768.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1656126
2.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
498414
642.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72772
2.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92222
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51539
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4665
6.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2319
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
7029
121.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6997
120.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3052
57.2 IPS |
