Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5948
Single Precision Score
2233
Half Precision Score
9605
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 01:00 PM |
| 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% |
4581
852.0 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (Q)
|
99% |
9728
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4224
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11136
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7129
8.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
36739
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4334
343.8 IPS |
|
|
Object Detection (HP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (Q)
|
86% |
10161
816.6 IPS |
|
|
Face Detection (SP)
|
100% |
11216
133.3 IPS |
|
|
Face Detection (HP)
|
100% |
2497
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
12380
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13299
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2838
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20712
165.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24999
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16954
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31524
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4562
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6167
228.3 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2012
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3010
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4348
87.4 IPS |
