Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
26397
Single Precision Score
39717
Half Precision Score
15754
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DavidAR |
| Upload Date | March 18 2025 08:36 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9979
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
14021
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
6709
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18981
307.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27610
447.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13155
213.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
168212
196.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
365865
426.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
130569
153.0 IPS |
|
|
Object Detection (SP)
|
100% |
13376
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
18475
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
8680
698.3 IPS |
|
|
Face Detection (SP)
|
100% |
37391
444.3 IPS |
|
|
Face Detection (HP)
|
100% |
52827
627.7 IPS |
|
|
Face Detection (Q)
|
97% |
23867
284.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
65450
504.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
107354
827.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38571
308.9 IPS |
|
|
Style Transfer (SP)
|
100% |
279306
359.1 IPS |
|
|
Style Transfer (HP)
|
100% |
643461
827.2 IPS |
|
|
Style Transfer (Q)
|
98% |
193371
249.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38158
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54942
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21802
807.3 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4996
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4905
84.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1653
31.0 IPS |
