Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5559
Single Precision Score
2213
Half Precision Score
9114
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 06:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4438
825.4 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.4 IPS |
|
|
Image Classification (Q)
|
99% |
9200
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3907
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10095
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7062
8.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
34943
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3923
311.2 IPS |
|
|
Object Detection (HP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (Q)
|
86% |
9628
773.8 IPS |
|
|
Face Detection (SP)
|
100% |
9930
118.0 IPS |
|
|
Face Detection (HP)
|
100% |
2008
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
11771
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12268
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3171
24.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19649
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23899
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16707
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27515
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3182
117.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6301
233.3 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1931
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2766
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4227
84.9 IPS |
