Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
5821
Single Precision Score
9441
Half Precision Score
14335
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 01:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3778
702.6 IPS |
|
|
Image Classification (HP)
|
100% |
6113
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8265
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4333
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8934
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11909
193.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12154
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11400
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36999
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
3543
281.1 IPS |
|
|
Object Detection (HP)
|
100% |
5950
472.0 IPS |
|
|
Object Detection (Q)
|
88% |
10049
805.3 IPS |
|
|
Face Detection (SP)
|
100% |
8875
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
17452
207.4 IPS |
|
|
Face Detection (Q)
|
100% |
27459
326.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12788
98.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
22010
170.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26172
203.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29840
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40923
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85235
109.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5121
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9642
356.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15178
562.1 IPS |
|
|
Text Classification (SP)
|
71% |
1666
2.41 KIPS |
|
|
Text Classification (HP)
|
71% |
2572
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2753
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2193
37.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3899
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3912
67.6 IPS |
