ASUS System Product Name
Geekbench AI Score
16640
Single Precision Score
26100
Half Precision Score
11105
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fhlipzero |
| Upload Date | October 20 2025 01:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6780
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
9857
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
4886
908.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9705
157.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13789
223.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8039
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
98323
114.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
268204
312.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
79326
92.9 IPS |
|
|
Object Detection (SP)
|
100% |
8450
670.2 IPS |
|
|
Object Detection (HP)
|
100% |
12447
987.3 IPS |
|
|
Object Detection (Q)
|
85% |
6328
509.4 IPS |
|
|
Face Detection (SP)
|
100% |
18651
221.6 IPS |
|
|
Face Detection (HP)
|
100% |
25978
308.7 IPS |
|
|
Face Detection (Q)
|
97% |
14830
176.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
40948
315.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78984
608.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
28214
226.0 IPS |
|
|
Style Transfer (SP)
|
100% |
164465
211.4 IPS |
|
|
Style Transfer (HP)
|
100% |
403726
519.0 IPS |
|
|
Style Transfer (Q)
|
98% |
127496
164.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29306
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35962
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16684
617.8 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3014
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1262
23.7 IPS |
