Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
18985
Single Precision Score
35040
Half Precision Score
14471
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 06:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A WIFI (MS-7E07) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7925
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
15696
2.92 KIPS |
|
|
Image Classification (Q)
|
99% |
6985
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12709
206.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18194
294.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11538
187.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92373
107.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
293141
342.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
78292
91.7 IPS |
|
|
Object Detection (SP)
|
100% |
10476
831.0 IPS |
|
|
Object Detection (HP)
|
100% |
17236
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
8835
713.8 IPS |
|
|
Face Detection (SP)
|
100% |
24002
285.2 IPS |
|
|
Face Detection (HP)
|
100% |
39196
465.7 IPS |
|
|
Face Detection (Q)
|
97% |
21341
254.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45358
349.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97677
752.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
36214
289.5 IPS |
|
|
Style Transfer (SP)
|
100% |
148386
190.8 IPS |
|
|
Style Transfer (HP)
|
100% |
510312
656.0 IPS |
|
|
Style Transfer (Q)
|
98% |
120052
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27169
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54317
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21319
789.4 IPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2113
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4103
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4234
72.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1729
32.4 IPS |
