Micro-Star International Co., Ltd. MS-7E20
Geekbench AI Score
36145
Single Precision Score
54054
Half Precision Score
27214
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 13 2026 07:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E20 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 UNIFY-X (MS-7E20) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14423
2.68 KIPS |
|
|
Image Classification (HP)
|
99% |
20563
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
12421
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25681
416.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
34302
556.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22885
372.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
211679
247.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
529182
617.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
188161
220.5 IPS |
|
|
Object Detection (SP)
|
100% |
17712
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
25629
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
14668
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
50810
603.7 IPS |
|
|
Face Detection (HP)
|
100% |
68197
810.3 IPS |
|
|
Face Detection (Q)
|
97% |
43301
516.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
90364
696.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
152259
1.18 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68237
545.5 IPS |
|
|
Style Transfer (SP)
|
100% |
381207
490.0 IPS |
|
|
Style Transfer (HP)
|
100% |
890432
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
336876
434.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56278
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70212
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39838
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5096
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2381
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6765
116.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3009
56.4 IPS |
