250828 MBG-Jones Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
4300
Single Precision Score
1717
Half Precision Score
7338
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | August 28 2025 07:34 AM |
| Views | 8 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2475
460.2 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
99% |
7145
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4111
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7831
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4934
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
26306
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3017
239.3 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.0 IPS |
|
|
Object Detection (Q)
|
86% |
8237
662.0 IPS |
|
|
Face Detection (SP)
|
100% |
8326
98.9 IPS |
|
|
Face Detection (HP)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
11156
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10888
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2546
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15388
122.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22583
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12974
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18510
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2677
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2121
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3654
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
1635
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1474
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4156
83.5 IPS |
