Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
4808
Single Precision Score
6774
Half Precision Score
3286
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dd88 |
| Upload Date | November 18 2025 02:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2849
529.8 IPS |
|
|
Image Classification (HP)
|
100% |
4096
761.7 IPS |
|
|
Image Classification (Q)
|
99% |
2108
393.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3596
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5813
94.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2431
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8955
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17019
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
7888
9.24 IPS |
|
|
Object Detection (SP)
|
100% |
3012
238.9 IPS |
|
|
Object Detection (HP)
|
100% |
4821
382.4 IPS |
|
|
Object Detection (Q)
|
86% |
2290
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
6317
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
9913
117.8 IPS |
|
|
Face Detection (Q)
|
97% |
4045
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9698
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16357
126.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
7136
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27363
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42460
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21384
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7789
287.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3463
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
769
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2423
41.9 IPS |
|
|
Machine Translation (Q)
|
70% |
965
18.1 IPS |
