Maxsun Default string
Geekbench AI Score
23372
Single Precision Score
38938
Half Precision Score
17933
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 11:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Maxsun Default string |
| Motherboard | Maxsun MS-iCraft Z790ITX WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10401
1.93 KIPS |
|
|
Image Classification (HP)
|
99% |
16320
3.04 KIPS |
|
|
Image Classification (Q)
|
99% |
9172
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16056
260.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21260
344.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14308
232.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
121394
141.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
374344
436.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
104907
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
11629
922.4 IPS |
|
|
Object Detection (HP)
|
100% |
20237
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
10063
810.1 IPS |
|
|
Face Detection (SP)
|
100% |
29772
353.8 IPS |
|
|
Face Detection (HP)
|
100% |
47025
558.8 IPS |
|
|
Face Detection (Q)
|
97% |
25829
308.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
52378
403.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101658
783.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
41689
333.8 IPS |
|
|
Style Transfer (SP)
|
100% |
212909
273.7 IPS |
|
|
Style Transfer (HP)
|
100% |
497209
639.2 IPS |
|
|
Style Transfer (Q)
|
98% |
186942
241.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36748
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57429
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27511
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4653
6.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2238
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4450
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4800
82.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2004
37.6 IPS |
