ASUS System Product Name
Geekbench AI Score
34773
Single Precision Score
51005
Half Precision Score
26069
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 03:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760-PLUS WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12790
2.38 KIPS |
|
|
Image Classification (HP)
|
99% |
18471
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
10927
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23487
380.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
31149
504.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21170
344.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
260941
304.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
498877
582.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
223948
262.4 IPS |
|
|
Object Detection (SP)
|
100% |
17296
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
23613
1.87 KIPS |
|
|
Object Detection (Q)
|
85% |
14720
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
48981
582.0 IPS |
|
|
Face Detection (HP)
|
100% |
63544
755.0 IPS |
|
|
Face Detection (Q)
|
97% |
41382
493.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
84841
653.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
151804
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58748
469.1 IPS |
|
|
Style Transfer (SP)
|
100% |
380010
488.5 IPS |
|
|
Style Transfer (HP)
|
100% |
903630
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
330881
426.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56008
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76442
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40562
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4553
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2225
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5847
100.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5796
99.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2619
49.1 IPS |
