Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
5831
Single Precision Score
4058
Half Precision Score
14876
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | itidal |
| Upload Date | July 07 2025 08:18 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3573
664.4 IPS |
|
|
Image Classification (HP)
|
100% |
2582
480.2 IPS |
|
|
Image Classification (Q)
|
100% |
9221
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4544
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10538
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6643
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
25527
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.2 IPS |
|
|
Object Detection (HP)
|
100% |
2533
200.9 IPS |
|
|
Object Detection (Q)
|
88% |
10038
804.6 IPS |
|
|
Face Detection (SP)
|
100% |
9566
113.7 IPS |
|
|
Face Detection (HP)
|
100% |
8111
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
25938
308.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8486
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6123
47.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25700
199.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19928
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12643
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
73018
94.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14440
534.8 IPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5912
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5131
88.4 IPS |
