Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
43139
Single Precision Score
61856
Half Precision Score
31927
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 06:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | Mximo rendimiento |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 270K Plus |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16621
3.09 KIPS |
|
|
Image Classification (HP)
|
100% |
21072
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
13726
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27912
452.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
33304
539.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
25692
417.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
383163
447.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
876971
1.02 KIPS |
|
|
Pose Estimation (Q)
|
94% |
314106
368.4 IPS |
|
|
Object Detection (SP)
|
100% |
20983
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
26738
2.12 KIPS |
|
|
Object Detection (Q)
|
89% |
18332
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
57838
687.2 IPS |
|
|
Face Detection (HP)
|
100% |
73096
868.5 IPS |
|
|
Face Detection (Q)
|
97% |
47732
569.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
111555
859.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
176747
1.36 KIPS |
|
|
Depth Estimation (Q)
|
74% |
77792
634.0 IPS |
|
|
Style Transfer (SP)
|
100% |
571082
734.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1453962
1.87 KIPS |
|
|
Style Transfer (Q)
|
98% |
486178
626.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68476
2.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92820
3.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50270
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
4168
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5034
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2461
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5691
98.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5678
98.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2427
54.1 IPS |
