ASUS System Product Name
Geekbench AI Score
39870
Single Precision Score
60126
Half Precision Score
29901
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | August 21 2025 03:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
13606
2.53 KIPS |
|
|
Image Classification (HP)
|
100% |
16995
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
12001
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30524
494.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
37649
610.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
27914
453.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
365182
426.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
858617
1.00 KIPS |
|
|
Pose Estimation (Q)
|
96% |
294347
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
19805
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
25476
2.02 KIPS |
|
|
Object Detection (Q)
|
85% |
16170
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
55689
661.7 IPS |
|
|
Face Detection (HP)
|
100% |
74016
879.5 IPS |
|
|
Face Detection (Q)
|
97% |
48037
572.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
93054
716.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
168840
1.30 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69373
555.6 IPS |
|
|
Style Transfer (SP)
|
100% |
536016
689.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1450816
1.87 KIPS |
|
|
Style Transfer (Q)
|
98% |
453486
584.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62831
2.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81929
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48304
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4692
6.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2160
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5637
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6331
109.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2273
42.6 IPS |
