ASUS System Product Name
Geekbench AI Score
52241
Single Precision Score
77219
Half Precision Score
38592
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TeslaGhost |
| Upload Date | December 29 2025 11:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 EXTREME |
| Power Plan | GameTurbo (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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
19010
3.54 KIPS |
|
|
Image Classification (HP)
|
100% |
24327
4.52 KIPS |
|
|
Image Classification (Q)
|
100% |
16302
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39700
643.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
50060
811.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36211
588.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
445495
519.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
1101087
1.28 KIPS |
|
|
Pose Estimation (Q)
|
96% |
359116
420.7 IPS |
|
|
Object Detection (SP)
|
100% |
25496
2.02 KIPS |
|
|
Object Detection (HP)
|
100% |
32880
2.61 KIPS |
|
|
Object Detection (Q)
|
85% |
21486
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
75822
900.9 IPS |
|
|
Face Detection (HP)
|
100% |
99292
1.18 KIPS |
|
|
Face Detection (Q)
|
97% |
61589
734.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
120109
925.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
210014
1.62 KIPS |
|
|
Depth Estimation (Q)
|
77% |
85663
686.1 IPS |
|
|
Style Transfer (SP)
|
100% |
672149
864.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1842751
2.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
559290
721.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80744
2.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
105591
3.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57988
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4551
6.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5369
7.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2739
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
7852
135.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7849
135.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3433
64.4 IPS |
