Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
10939
Single Precision Score
10885
Half Precision Score
17280
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DavidAR |
| Upload Date | April 05 2025 03:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E22 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 ACE (MS-7E22) |
| 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% |
6837
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7402
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10785
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9679
156.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5533
89.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13478
218.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16876
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15046
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32206
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
6715
532.7 IPS |
|
|
Object Detection (HP)
|
100% |
7820
620.3 IPS |
|
|
Object Detection (Q)
|
88% |
11903
954.2 IPS |
|
|
Face Detection (SP)
|
100% |
18963
225.3 IPS |
|
|
Face Detection (HP)
|
100% |
22362
265.7 IPS |
|
|
Face Detection (Q)
|
100% |
31127
369.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16923
130.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19157
147.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
32605
253.5 IPS |
|
|
Style Transfer (SP)
|
100% |
49163
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44651
57.4 IPS |
|
|
Style Transfer (Q)
|
98% |
90980
117.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10281
379.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9557
352.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17403
644.5 IPS |
|
|
Text Classification (SP)
|
100% |
4507
6.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5981
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4478
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7833
134.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4434
76.4 IPS |
