Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
7369
Single Precision Score
2588
Half Precision Score
10904
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sure |
| Upload Date | April 01 2025 06:20 PM |
| 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 Enterprise Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E22 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 ACE (MS-7E22) |
| Power Plan | High 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5548
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
856
159.3 IPS |
|
|
Image Classification (Q)
|
99% |
10168
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2730
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4917
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16052
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8168
9.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
52044
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
5302
420.6 IPS |
|
|
Object Detection (HP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (Q)
|
86% |
12759
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
14846
176.4 IPS |
|
|
Face Detection (HP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
14780
176.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17110
131.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3703
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
25253
201.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35764
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21618
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27436
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7418
274.7 IPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1881
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5010
100.7 IPS |
