Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6051
Single Precision Score
2448
Half Precision Score
10991
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | itidal |
| Upload Date | July 07 2025 08:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4785
889.9 IPS |
|
|
Image Classification (HP)
|
100% |
868
161.5 IPS |
|
|
Image Classification (Q)
|
99% |
9512
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13878
225.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10564
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7729
9.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
37837
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
4463
354.0 IPS |
|
|
Object Detection (HP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (Q)
|
86% |
10966
881.4 IPS |
|
|
Face Detection (SP)
|
100% |
12238
145.4 IPS |
|
|
Face Detection (HP)
|
100% |
2411
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
13225
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13148
101.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2946
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22084
176.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24506
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17576
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25867
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3813
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3376
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7584
280.8 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1786
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4590
92.2 IPS |
