Ponkas ASUS System Product Name
Geekbench AI Score
17995
Single Precision Score
31143
Half Precision Score
14007
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | saulmaz |
| Upload Date | April 16 2025 05:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | Paskirstytas |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7253
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
13189
2.46 KIPS |
|
|
Image Classification (Q)
|
99% |
6346
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13018
211.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18039
292.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11611
188.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
86204
100.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
242688
283.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
76963
90.2 IPS |
|
|
Object Detection (SP)
|
100% |
8961
710.8 IPS |
|
|
Object Detection (HP)
|
100% |
15966
1.27 KIPS |
|
|
Object Detection (Q)
|
84% |
7761
626.0 IPS |
|
|
Face Detection (SP)
|
100% |
21251
252.5 IPS |
|
|
Face Detection (HP)
|
100% |
34920
414.9 IPS |
|
|
Face Detection (Q)
|
97% |
19304
230.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39620
305.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82552
636.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32172
257.4 IPS |
|
|
Style Transfer (SP)
|
100% |
140653
180.8 IPS |
|
|
Style Transfer (HP)
|
100% |
360614
463.6 IPS |
|
|
Style Transfer (Q)
|
98% |
128444
165.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28745
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48616
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20911
774.3 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
4015
5.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2076
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4589
79.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1908
35.8 IPS |
