Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7303
Single Precision Score
2605
Half Precision Score
10091
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 08:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
5704
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
877
163.1 IPS |
|
|
Image Classification (Q)
|
99% |
10005
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3097
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11747
191.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15051
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8776
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
50089
58.7 IPS |
|
|
Object Detection (SP)
|
100% |
5549
440.1 IPS |
|
|
Object Detection (HP)
|
100% |
1027
81.5 IPS |
|
|
Object Detection (Q)
|
86% |
10602
852.1 IPS |
|
|
Face Detection (SP)
|
100% |
16116
191.5 IPS |
|
|
Face Detection (HP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
13217
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16730
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3542
27.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26450
211.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34559
44.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21791
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29381
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5363
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7450
275.9 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
630
844.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3018
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3639
73.1 IPS |
