ASUS System Product Name
Geekbench AI Score
44630
Single Precision Score
65591
Half Precision Score
32630
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS Z890-ACE SE |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16287
3.03 KIPS |
|
|
Image Classification (HP)
|
100% |
21121
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
13516
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32727
530.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
40577
657.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29582
481.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
387704
452.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
873307
1.02 KIPS |
|
|
Pose Estimation (Q)
|
96% |
310972
364.3 IPS |
|
|
Object Detection (SP)
|
100% |
21650
1.72 KIPS |
|
|
Object Detection (HP)
|
100% |
27453
2.18 KIPS |
|
|
Object Detection (Q)
|
85% |
18052
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
65843
782.4 IPS |
|
|
Face Detection (HP)
|
100% |
85731
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
52500
626.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
101364
781.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
182319
1.40 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72238
578.6 IPS |
|
|
Style Transfer (SP)
|
100% |
569630
732.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1553281
2.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
476801
614.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67018
2.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89967
3.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49077
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
4178
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5000
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2294
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6584
113.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6568
113.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2995
56.2 IPS |
