ASUS System Product Name
Geekbench AI Score
37441
Single Precision Score
55970
Half Precision Score
28242
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | July 02 2025 01:02 PM |
| 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 | Balanced |
| 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% |
8797
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
11127
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
8495
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25310
410.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
32587
528.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21003
341.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
286764
334.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
729888
851.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
264447
309.8 IPS |
|
|
Object Detection (SP)
|
100% |
20426
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
25885
2.05 KIPS |
|
|
Object Detection (Q)
|
85% |
17057
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
58594
696.2 IPS |
|
|
Face Detection (HP)
|
100% |
75423
896.2 IPS |
|
|
Face Detection (Q)
|
97% |
47525
566.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
95057
732.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
169478
1.31 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67401
539.8 IPS |
|
|
Style Transfer (SP)
|
100% |
535536
688.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1476453
1.90 KIPS |
|
|
Style Transfer (Q)
|
98% |
461977
595.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64641
2.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86090
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46871
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4683
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2122
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5788
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5788
99.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2726
51.1 IPS |
