MAXSUN MS-TZZ H510ITX
Geekbench AI Score
2637
Single Precision Score
1191
Half Precision Score
3429
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sarcoma |
| Upload Date | August 20 2025 07:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| 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% |
2199
408.9 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
96% |
3096
578.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
1957
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3713
4.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
7965
9.42 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
58% |
2151
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
5332
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1701
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6891
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10718
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8445
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11468
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2288
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
644
859.1 IPS |
|
|
Text Classification (Q)
|
97% |
1115
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1742
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (Q)
|
68% |
2017
39.0 IPS |
