Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5223
Single Precision Score
3055
Half Precision Score
12771
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 01:02 PM |
| Views | 5 |
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% |
3436
639.0 IPS |
|
|
Image Classification (HP)
|
100% |
1495
278.0 IPS |
|
|
Image Classification (Q)
|
100% |
8269
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4118
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8752
141.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6247
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4118
4.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
24013
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
3196
253.5 IPS |
|
|
Object Detection (HP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (Q)
|
88% |
8829
707.8 IPS |
|
|
Face Detection (SP)
|
100% |
9602
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
22587
268.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8355
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4692
36.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24258
188.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18650
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12020
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
67746
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13431
497.4 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
5390
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2805
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2800
48.2 IPS |
