250608 MBG-Z20 Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
6212
Single Precision Score
2187
Half Precision Score
9705
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | June 08 2025 07:18 AM |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3789
704.7 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.8 IPS |
|
|
Image Classification (Q)
|
99% |
9865
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2716
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4362
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13244
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7082
8.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
39516
46.3 IPS |
|
|
Object Detection (SP)
|
100% |
4284
339.8 IPS |
|
|
Object Detection (HP)
|
100% |
979
77.6 IPS |
|
|
Object Detection (Q)
|
86% |
11131
894.5 IPS |
|
|
Face Detection (SP)
|
100% |
12222
145.2 IPS |
|
|
Face Detection (HP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
12897
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14497
111.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3141
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18422
147.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28512
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16764
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27203
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3176
117.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6515
241.2 IPS |
|
|
Text Classification (SP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1824
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5102
102.5 IPS |
