Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
23734
Single Precision Score
43218
Half Precision Score
18191
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 06:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
9511
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
17155
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8741
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18985
307.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
29012
470.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17185
279.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
131130
153.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
411053
479.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
122234
143.2 IPS |
|
|
Object Detection (SP)
|
100% |
12095
959.4 IPS |
|
|
Object Detection (HP)
|
100% |
20845
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10215
825.3 IPS |
|
|
Face Detection (SP)
|
100% |
32772
389.4 IPS |
|
|
Face Detection (HP)
|
100% |
52204
620.3 IPS |
|
|
Face Detection (Q)
|
97% |
28267
337.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
57249
441.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
115965
893.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
45666
364.5 IPS |
|
|
Style Transfer (SP)
|
100% |
182591
234.7 IPS |
|
|
Style Transfer (HP)
|
100% |
603270
775.5 IPS |
|
|
Style Transfer (Q)
|
98% |
158992
205.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34072
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62070
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25621
948.7 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2043
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5288
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6074
104.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1970
37.0 IPS |
