ASUS System Product Name
Geekbench AI Score
32311
Single Precision Score
46170
Half Precision Score
25101
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 07:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12335
2.29 KIPS |
|
|
Image Classification (HP)
|
99% |
17721
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10652
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19788
320.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24488
397.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18091
294.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
255448
298.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
478881
558.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
224224
262.7 IPS |
|
|
Object Detection (SP)
|
100% |
15311
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
20549
1.63 KIPS |
|
|
Object Detection (Q)
|
85% |
13218
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
43913
521.8 IPS |
|
|
Face Detection (HP)
|
100% |
55691
661.7 IPS |
|
|
Face Detection (Q)
|
97% |
38056
453.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
81095
624.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
143633
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62680
500.5 IPS |
|
|
Style Transfer (SP)
|
100% |
380562
489.2 IPS |
|
|
Style Transfer (HP)
|
100% |
822816
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
334500
431.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52131
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70464
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39731
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4506
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2146
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4999
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4933
85.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2556
47.9 IPS |
