MAXSUN MS-TZZ H510ITX
Geekbench AI Score
9787
Single Precision Score
11131
Half Precision Score
7031
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sarcoma |
| Upload Date | August 20 2025 07:08 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MAXSUN MS-TZZ H510ITX |
| Motherboard | MAXSUN MS-TZZ H510ITX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (HP)
|
100% |
3121
580.4 IPS |
|
|
Image Classification (Q)
|
100% |
2649
492.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5728
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6366
103.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4484
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66300
77.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
94174
109.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
51136
59.9 IPS |
|
|
Object Detection (SP)
|
100% |
3894
308.9 IPS |
|
|
Object Detection (HP)
|
100% |
5554
440.5 IPS |
|
|
Object Detection (Q)
|
88% |
4124
330.7 IPS |
|
|
Face Detection (SP)
|
100% |
11763
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
13828
164.3 IPS |
|
|
Face Detection (Q)
|
97% |
11972
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22244
171.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26645
205.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
19475
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
130492
167.7 IPS |
|
|
Style Transfer (HP)
|
100% |
165681
213.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88147
113.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14798
546.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13915
513.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12228
452.8 IPS |
|
|
Text Classification (SP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (Q)
|
97% |
563
754.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2005
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2058
35.5 IPS |
|
|
Machine Translation (Q)
|
70% |
834
15.6 IPS |
