ASUS System Product Name
Geekbench AI Score
29897
Single Precision Score
45684
Half Precision Score
23161
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 08:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PRO WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11679
2.17 KIPS |
|
|
Image Classification (HP)
|
99% |
17511
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
10015
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22558
365.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
30013
486.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20097
326.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
169475
197.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
444951
519.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
156847
183.8 IPS |
|
|
Object Detection (SP)
|
100% |
14028
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
22267
1.77 KIPS |
|
|
Object Detection (Q)
|
85% |
12274
988.1 IPS |
|
|
Face Detection (SP)
|
100% |
42323
502.9 IPS |
|
|
Face Detection (HP)
|
100% |
58599
696.3 IPS |
|
|
Face Detection (Q)
|
97% |
35943
428.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70278
541.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
117311
906.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
55583
444.4 IPS |
|
|
Style Transfer (SP)
|
100% |
295924
380.4 IPS |
|
|
Style Transfer (HP)
|
100% |
711886
915.1 IPS |
|
|
Style Transfer (Q)
|
98% |
266977
344.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49496
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63559
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35691
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4154
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2138
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5957
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5886
101.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2817
52.8 IPS |
