Micro-Star International Co., Ltd. MS-7E41
Geekbench AI Score
5992
Single Precision Score
9383
Half Precision Score
14060
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 04:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E41 |
| Motherboard | Micro-Star International Co., Ltd. B860 GAMING PLUS WIFI (MS-7E41) |
| Power Plan | pikov vkon |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4039
751.1 IPS |
|
|
Image Classification (HP)
|
100% |
6272
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8310
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4247
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9258
150.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13152
213.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12249
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11447
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
36991
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
3789
300.5 IPS |
|
|
Object Detection (HP)
|
100% |
6097
483.6 IPS |
|
|
Object Detection (Q)
|
88% |
9808
786.0 IPS |
|
|
Face Detection (SP)
|
100% |
8608
102.3 IPS |
|
|
Face Detection (HP)
|
100% |
16229
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
24726
293.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13151
101.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
23076
178.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26289
204.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30552
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42108
54.1 IPS |
|
|
Style Transfer (Q)
|
98% |
85477
110.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5389
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9584
353.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15264
565.3 IPS |
|
|
Text Classification (SP)
|
71% |
1719
2.49 KIPS |
|
|
Text Classification (HP)
|
71% |
2596
3.76 KIPS |
|
|
Text Classification (Q)
|
92% |
2717
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3330
57.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3305
56.9 IPS |
