Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6655
Single Precision Score
2255
Half Precision Score
9957
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 02:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5426
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
99% |
9846
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1416
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4469
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15038
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7498
8.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
46204
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
4600
364.9 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (Q)
|
86% |
10978
882.3 IPS |
|
|
Face Detection (SP)
|
100% |
13372
158.9 IPS |
|
|
Face Detection (HP)
|
100% |
2428
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
13165
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14082
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3205
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22516
179.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33579
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17755
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28974
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5698
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3411
126.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7075
262.0 IPS |
|
|
Text Classification (SP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.2 IPS |
|
|
Text Classification (Q)
|
97% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4284
86.1 IPS |
