Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
24024
Single Precision Score
43310
Half Precision Score
18333
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | i0ntempest |
| Upload Date | July 09 2025 06:12 AM |
| Views | 6 |
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% |
9706
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
15616
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
8877
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18856
305.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28369
459.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17107
278.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
131864
153.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
409646
478.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
122355
143.3 IPS |
|
|
Object Detection (SP)
|
100% |
11847
939.7 IPS |
|
|
Object Detection (HP)
|
100% |
20456
1.62 KIPS |
|
|
Object Detection (Q)
|
83% |
10250
828.1 IPS |
|
|
Face Detection (SP)
|
100% |
32434
385.4 IPS |
|
|
Face Detection (HP)
|
100% |
51923
617.0 IPS |
|
|
Face Detection (Q)
|
97% |
27733
330.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
56730
437.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
114090
879.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
45702
364.8 IPS |
|
|
Style Transfer (SP)
|
100% |
183699
236.1 IPS |
|
|
Style Transfer (HP)
|
100% |
619405
796.3 IPS |
|
|
Style Transfer (Q)
|
98% |
158140
203.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33982
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65684
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26124
967.3 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2131
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5696
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6207
106.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2019
37.9 IPS |
