Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
24964
Single Precision Score
36902
Half Precision Score
14916
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DavidAR |
| Upload Date | April 05 2025 03:43 PM |
| Views | 2 |
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 | 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% |
9433
1.75 KIPS |
|
|
Image Classification (HP)
|
99% |
13614
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
6296
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15990
259.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21868
354.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11477
186.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
181553
211.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
353575
412.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
132278
155.0 IPS |
|
|
Object Detection (SP)
|
100% |
12030
954.2 IPS |
|
|
Object Detection (HP)
|
100% |
16816
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
8051
647.6 IPS |
|
|
Face Detection (SP)
|
100% |
33458
397.5 IPS |
|
|
Face Detection (HP)
|
100% |
45784
544.0 IPS |
|
|
Face Detection (Q)
|
97% |
21730
259.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
61214
471.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101856
784.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36040
288.6 IPS |
|
|
Style Transfer (SP)
|
100% |
274280
352.6 IPS |
|
|
Style Transfer (HP)
|
100% |
617023
793.2 IPS |
|
|
Style Transfer (Q)
|
98% |
191616
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38152
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53755
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21235
786.3 IPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1465
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4345
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1518
28.5 IPS |
