Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5055
Single Precision Score
3022
Half Precision Score
12507
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 06:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3372
627.0 IPS |
|
|
Image Classification (HP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (Q)
|
100% |
8187
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3961
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8606
139.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4008
4.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
23881
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2992
237.3 IPS |
|
|
Object Detection (HP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (Q)
|
88% |
8802
705.5 IPS |
|
|
Face Detection (SP)
|
100% |
8958
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
21993
261.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8154
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4666
36.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
23639
183.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18218
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11818
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
67564
87.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2689
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13294
492.3 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
5398
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2509
43.2 IPS |
