Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
21940
Single Precision Score
39888
Half Precision Score
16963
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 01:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
9603
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
17428
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
8642
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14318
232.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19643
318.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13220
215.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
116896
136.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
375364
438.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
109627
128.4 IPS |
|
|
Object Detection (SP)
|
100% |
11326
898.4 IPS |
|
|
Object Detection (HP)
|
100% |
19733
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
9784
790.5 IPS |
|
|
Face Detection (SP)
|
100% |
27062
321.6 IPS |
|
|
Face Detection (HP)
|
100% |
41386
491.8 IPS |
|
|
Face Detection (Q)
|
97% |
23718
282.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
53950
415.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
108400
835.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
42751
341.2 IPS |
|
|
Style Transfer (SP)
|
100% |
170333
219.0 IPS |
|
|
Style Transfer (HP)
|
100% |
593214
762.6 IPS |
|
|
Style Transfer (Q)
|
98% |
149693
193.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33943
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65894
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25657
950.0 IPS |
|
|
Text Classification (SP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4861
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2362
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1750
32.8 IPS |
