Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
4797
Single Precision Score
1932
Half Precision Score
8326
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 07:37 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-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Ultimate 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4146
771.0 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
99% |
8916
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3745
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9446
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
31106
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3368
267.2 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
86% |
9085
730.2 IPS |
|
|
Face Detection (SP)
|
100% |
8188
97.3 IPS |
|
|
Face Detection (HP)
|
100% |
2082
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
11386
135.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9854
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2642
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16385
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16719
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14156
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20952
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3248
119.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2599
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5472
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4280
86.0 IPS |
