Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7629
Single Precision Score
4410
Half Precision Score
18283
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | boris_sdk |
| Upload Date | June 09 2025 05:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Atlas Power Scheme |
| 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% |
4721
877.9 IPS |
|
|
Image Classification (HP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (Q)
|
100% |
10717
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5851
94.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2625
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12940
209.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9031
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5823
6.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
34428
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
4517
358.3 IPS |
|
|
Object Detection (HP)
|
100% |
2352
186.6 IPS |
|
|
Object Detection (Q)
|
88% |
11789
945.0 IPS |
|
|
Face Detection (SP)
|
100% |
13709
162.9 IPS |
|
|
Face Detection (HP)
|
100% |
6261
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
32764
389.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11825
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6731
51.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
33558
260.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26703
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17438
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
99767
128.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5620
207.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3811
140.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19071
706.3 IPS |
|
|
Text Classification (SP)
|
100% |
4615
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6797
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5281
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4964
85.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5216
89.9 IPS |
