Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
7559
Single Precision Score
2709
Half Precision Score
12768
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | August 24 2025 02:28 AM |
| Views | 3 |
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 | Ultimate Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5987
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
916
170.4 IPS |
|
|
Image Classification (Q)
|
99% |
10958
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18628
302.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16150
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8455
9.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
51076
59.9 IPS |
|
|
Object Detection (SP)
|
100% |
5393
427.8 IPS |
|
|
Object Detection (HP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (Q)
|
86% |
12724
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
17327
205.9 IPS |
|
|
Face Detection (HP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
14260
170.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17259
133.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3668
28.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26598
212.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36320
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21556
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
37998
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3671
135.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7783
288.2 IPS |
|
|
Text Classification (SP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4525
90.9 IPS |
