Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
5653
Single Precision Score
2037
Half Precision Score
8854
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 07:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3816
709.6 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (Q)
|
99% |
7605
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4334
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12670
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6903
8.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
38603
45.3 IPS |
|
|
Object Detection (SP)
|
100% |
3778
299.7 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.6 IPS |
|
|
Object Detection (Q)
|
86% |
9731
782.0 IPS |
|
|
Face Detection (SP)
|
100% |
9514
113.0 IPS |
|
|
Face Detection (HP)
|
100% |
2043
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
12366
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13356
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3154
24.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
21028
167.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28986
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17415
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25286
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3082
113.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6186
229.1 IPS |
|
|
Text Classification (SP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3540
71.1 IPS |
