Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
7164
Single Precision Score
4983
Half Precision Score
17585
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | GERRARD__8 |
| Upload Date | June 17 2025 02:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
4471
831.4 IPS |
|
|
Image Classification (HP)
|
100% |
3247
603.8 IPS |
|
|
Image Classification (Q)
|
100% |
10796
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5525
89.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12759
206.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8479
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5556
6.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
31939
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (HP)
|
100% |
3165
251.0 IPS |
|
|
Object Detection (Q)
|
88% |
11877
952.1 IPS |
|
|
Face Detection (SP)
|
100% |
12444
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
10168
120.8 IPS |
|
|
Face Detection (Q)
|
100% |
29858
354.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10447
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7689
59.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
32076
249.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25227
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16221
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92933
119.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17829
660.3 IPS |
|
|
Text Classification (SP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (Q)
|
92% |
6029
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5801
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5591
96.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5657
97.4 IPS |
