ASUS System Product Name
Geekbench AI Score
23544
Single Precision Score
33113
Half Precision Score
18724
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dzappone |
| Upload Date | May 01 2025 12:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z490-V |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8911
1.66 KIPS |
|
|
Image Classification (HP)
|
99% |
12829
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
8239
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14758
239.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17709
287.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13405
218.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
149662
174.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
329661
384.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
134025
157.0 IPS |
|
|
Object Detection (SP)
|
100% |
11610
920.9 IPS |
|
|
Object Detection (HP)
|
100% |
16204
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
9978
803.2 IPS |
|
|
Face Detection (SP)
|
100% |
29306
348.2 IPS |
|
|
Face Detection (HP)
|
100% |
38327
455.4 IPS |
|
|
Face Detection (Q)
|
97% |
25549
304.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
62735
483.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96384
742.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
49424
394.6 IPS |
|
|
Style Transfer (SP)
|
100% |
254089
326.6 IPS |
|
|
Style Transfer (HP)
|
100% |
514130
660.9 IPS |
|
|
Style Transfer (Q)
|
98% |
225120
290.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41647
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50230
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29867
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3559
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1983
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2130
40.0 IPS |
