Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6389
Single Precision Score
9638
Half Precision Score
14502
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 07:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4201
781.3 IPS |
|
|
Image Classification (HP)
|
100% |
6978
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9534
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5232
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3645
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7875
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
34158
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73835
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
3893
308.8 IPS |
|
|
Object Detection (HP)
|
100% |
5739
455.2 IPS |
|
|
Object Detection (Q)
|
87% |
8905
714.7 IPS |
|
|
Face Detection (SP)
|
100% |
11367
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
15839
188.2 IPS |
|
|
Face Detection (Q)
|
100% |
25361
301.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10032
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19073
146.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34736
270.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23935
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52848
67.9 IPS |
|
|
Style Transfer (Q)
|
98% |
97265
125.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14254
526.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25546
946.1 IPS |
|
|
Text Classification (SP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2349
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3503
60.3 IPS |
