Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
4837
Single Precision Score
4889
Half Precision Score
11920
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:54 PM |
| 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. PRO Z890-A WIFI (MS-7E32) |
| Power Plan | High performance |
| 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% |
3392
630.9 IPS |
|
|
Image Classification (HP)
|
100% |
3432
638.2 IPS |
|
|
Image Classification (Q)
|
100% |
8211
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3232
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3212
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6129
99.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6151
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6182
7.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
23979
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
3116
247.1 IPS |
|
|
Object Detection (HP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (Q)
|
88% |
8388
672.4 IPS |
|
|
Face Detection (SP)
|
100% |
9601
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
9717
115.5 IPS |
|
|
Face Detection (Q)
|
100% |
21927
260.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8386
64.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
22810
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18776
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18495
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
66359
85.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3900
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13006
481.6 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
4628
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2607
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2866
49.4 IPS |
