Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
28186
Single Precision Score
44048
Half Precision Score
21733
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Decmattern |
| Upload Date | March 24 2025 11:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11036
2.05 KIPS |
|
|
Image Classification (HP)
|
99% |
16167
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
9399
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21550
349.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
29889
484.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19625
319.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
170529
199.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
421530
491.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
160175
187.7 IPS |
|
|
Object Detection (SP)
|
100% |
12950
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
21483
1.70 KIPS |
|
|
Object Detection (Q)
|
85% |
11358
914.3 IPS |
|
|
Face Detection (SP)
|
100% |
40577
482.1 IPS |
|
|
Face Detection (HP)
|
100% |
56722
674.0 IPS |
|
|
Face Detection (Q)
|
97% |
33731
402.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
64330
495.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
115095
889.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
51148
408.9 IPS |
|
|
Style Transfer (SP)
|
100% |
306876
394.5 IPS |
|
|
Style Transfer (HP)
|
100% |
699927
899.8 IPS |
|
|
Style Transfer (Q)
|
98% |
268906
346.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45407
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60621
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35177
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
4586
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1940
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4781
82.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4947
85.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2213
41.5 IPS |
