ASUS System Product Name
Geekbench AI Score
33074
Single Precision Score
46295
Half Precision Score
25122
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | July 03 2025 05:28 AM |
| Views | 9 |
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% |
10880
2.02 KIPS |
|
|
Image Classification (HP)
|
100% |
10912
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
8658
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27715
449.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
35696
578.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
25136
408.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
343985
401.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
726892
848.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
268226
314.2 IPS |
|
|
Object Detection (SP)
|
100% |
13979
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
21247
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
11433
921.1 IPS |
|
|
Face Detection (SP)
|
100% |
50907
604.9 IPS |
|
|
Face Detection (HP)
|
100% |
63669
756.5 IPS |
|
|
Face Detection (Q)
|
97% |
42409
505.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
77718
598.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
138153
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
63573
509.2 IPS |
|
|
Style Transfer (SP)
|
100% |
490698
630.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1259674
1.62 KIPS |
|
|
Style Transfer (Q)
|
98% |
405225
522.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48271
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59773
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37545
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1805
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4228
72.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2027
38.0 IPS |
