Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
44656
Single Precision Score
65908
Half Precision Score
33191
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 04:22 PM |
| Views | 10 |
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-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16163
3.01 KIPS |
|
|
Image Classification (HP)
|
100% |
21199
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
13834
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35609
577.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
45161
732.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
32163
523.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
403744
471.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
967827
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326929
382.9 IPS |
|
|
Object Detection (SP)
|
100% |
21366
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
26505
2.10 KIPS |
|
|
Object Detection (Q)
|
85% |
17633
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
65902
783.1 IPS |
|
|
Face Detection (HP)
|
100% |
87284
1.04 KIPS |
|
|
Face Detection (Q)
|
97% |
52034
620.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
99416
765.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
176570
1.36 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72953
584.3 IPS |
|
|
Style Transfer (SP)
|
100% |
578932
744.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1521890
1.96 KIPS |
|
|
Style Transfer (Q)
|
98% |
469984
606.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62133
2.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81016
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46376
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3892
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4744
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2428
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6925
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6987
120.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3149
59.1 IPS |
