Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6667
Single Precision Score
2476
Half Precision Score
10280
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:23 AM |
| Views | 3 |
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 | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5134
954.7 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
99% |
9576
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4317
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13952
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8143
9.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
46058
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
4835
383.5 IPS |
|
|
Object Detection (HP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (Q)
|
86% |
11411
917.0 IPS |
|
|
Face Detection (SP)
|
100% |
13171
156.5 IPS |
|
|
Face Detection (HP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
13304
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15382
118.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3411
26.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
23824
190.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31554
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20789
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33615
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6740
249.6 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4335
87.1 IPS |
