Micro-Star International Co., Ltd. MS-7E20
Geekbench AI Score
40740
Single Precision Score
58946
Half Precision Score
30498
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 29 2025 02:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E20 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 UNIFY-X (MS-7E20) |
| 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% |
15530
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
20291
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
13253
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24740
401.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28931
469.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22904
372.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
364606
425.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
820209
957.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
298370
349.5 IPS |
|
|
Object Detection (SP)
|
100% |
20294
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
25312
2.01 KIPS |
|
|
Object Detection (Q)
|
85% |
17090
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
54382
646.2 IPS |
|
|
Face Detection (HP)
|
100% |
68111
809.3 IPS |
|
|
Face Detection (Q)
|
97% |
45360
540.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
97761
753.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
176105
1.36 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71211
570.4 IPS |
|
|
Style Transfer (SP)
|
100% |
547103
703.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1396035
1.79 KIPS |
|
|
Style Transfer (Q)
|
98% |
460285
593.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66349
2.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90024
3.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48440
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
4201
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5043
6.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5466
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5467
94.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2703
50.7 IPS |
