Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
7133
Single Precision Score
9988
Half Precision Score
15328
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | GERRARD__8 |
| Upload Date | June 17 2025 02:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4469
831.2 IPS |
|
|
Image Classification (HP)
|
100% |
7102
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9827
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5750
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3965
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8480
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
34700
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
75179
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
4179
331.5 IPS |
|
|
Object Detection (HP)
|
100% |
6158
488.5 IPS |
|
|
Object Detection (Q)
|
87% |
10209
819.3 IPS |
|
|
Face Detection (SP)
|
100% |
12206
145.0 IPS |
|
|
Face Detection (HP)
|
100% |
17138
203.6 IPS |
|
|
Face Detection (Q)
|
100% |
31861
378.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10343
79.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18257
140.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33926
264.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24826
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51029
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
95257
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14186
523.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23905
885.3 IPS |
|
|
Text Classification (SP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2093
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5625
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4571
78.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4648
80.1 IPS |
