Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
24644
Single Precision Score
49880
Half Precision Score
53564
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 02:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| Power Plan | Utilisation normale |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13349
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
26247
4.88 KIPS |
|
|
Image Classification (Q)
|
100% |
30189
5.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22768
369.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36092
585.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
37479
607.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
82879
96.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
343579
400.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
646199
756.5 IPS |
|
|
Object Detection (SP)
|
100% |
10716
850.0 IPS |
|
|
Object Detection (HP)
|
100% |
27341
2.17 KIPS |
|
|
Object Detection (Q)
|
88% |
24070
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
28089
333.8 IPS |
|
|
Face Detection (HP)
|
100% |
52431
623.0 IPS |
|
|
Face Detection (Q)
|
100% |
56008
665.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
59189
456.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
136243
1.05 KIPS |
|
|
Depth Estimation (Q)
|
89% |
163483
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
184649
237.4 IPS |
|
|
Style Transfer (HP)
|
100% |
581494
747.5 IPS |
|
|
Style Transfer (Q)
|
98% |
636283
820.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33485
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77725
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79932
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
6488
8.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5946
7.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4221
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5581
96.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5621
96.8 IPS |
