250803 MBG-Gordon Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
6680
Single Precision Score
2316
Half Precision Score
10072
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | August 03 2025 03:33 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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-7E42 |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| Power Plan | Balanced |
| 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% |
5027
935.0 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.4 IPS |
|
|
Image Classification (Q)
|
99% |
9113
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4359
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14164
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7910
9.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
43375
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
4678
371.1 IPS |
|
|
Object Detection (HP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (Q)
|
86% |
10652
856.1 IPS |
|
|
Face Detection (SP)
|
100% |
13739
163.2 IPS |
|
|
Face Detection (HP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
13463
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15645
120.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3471
26.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24812
198.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31689
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19937
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30982
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5011
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6572
243.4 IPS |
|
|
Text Classification (SP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4849
97.4 IPS |
