Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
8173
Single Precision Score
8429
Half Precision Score
14994
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 09:47 PM |
| Views | 1 |
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 | Prestazioni eccellenti |
| 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% |
5969
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6046
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
10294
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6311
102.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6413
104.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7799
126.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14589
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15238
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
33730
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
5483
434.9 IPS |
|
|
Object Detection (HP)
|
100% |
5491
435.6 IPS |
|
|
Object Detection (Q)
|
88% |
10953
878.0 IPS |
|
|
Face Detection (SP)
|
100% |
15953
189.6 IPS |
|
|
Face Detection (HP)
|
100% |
16029
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
27972
332.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15426
118.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15608
120.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
30490
237.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38575
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43235
55.6 IPS |
|
|
Style Transfer (Q)
|
98% |
94676
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8993
332.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9048
334.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17598
651.7 IPS |
|
|
Text Classification (SP)
|
100% |
1915
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1939
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
4881
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2700
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2792
48.1 IPS |
