Micro-Star International Co., Ltd. MS-7E48
Geekbench AI Score
45155
Single Precision Score
66620
Half Precision Score
33694
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 03 2025 05:25 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E48 |
| Motherboard | Micro-Star International Co., Ltd. MEG X870E GODLIKE (MS-7E48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15832
2.94 KIPS |
|
|
Image Classification (HP)
|
100% |
20554
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
13138
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34100
552.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
42716
692.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31761
516.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
399771
466.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
958947
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
324024
379.5 IPS |
|
|
Object Detection (SP)
|
100% |
22744
1.80 KIPS |
|
|
Object Detection (HP)
|
100% |
29980
2.38 KIPS |
|
|
Object Detection (Q)
|
85% |
19166
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
69064
820.6 IPS |
|
|
Face Detection (HP)
|
100% |
91755
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
56160
669.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
103212
795.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
182899
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75251
602.7 IPS |
|
|
Style Transfer (SP)
|
100% |
583255
749.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1579362
2.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
489294
630.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68996
2.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90300
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50134
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4294
5.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6784
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6639
114.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3088
57.9 IPS |
