ASUS System Product Name
Geekbench AI Score
45423
Single Precision Score
67532
Half Precision Score
33090
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 05:32 AM |
| Views | 2 |
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. TUF GAMING B860-PLUS WIFI |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16581
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
22218
4.13 KIPS |
|
|
Image Classification (Q)
|
100% |
14089
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34378
557.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
43116
698.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31061
505.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
394313
460.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
909604
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
313730
367.5 IPS |
|
|
Object Detection (SP)
|
100% |
22442
1.78 KIPS |
|
|
Object Detection (HP)
|
100% |
29106
2.31 KIPS |
|
|
Object Detection (Q)
|
85% |
18605
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
68205
810.4 IPS |
|
|
Face Detection (HP)
|
100% |
90087
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
54552
650.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
103460
797.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
188623
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73681
590.1 IPS |
|
|
Style Transfer (SP)
|
100% |
585675
752.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1636717
2.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
484780
625.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68405
2.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93788
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50162
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5023
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2202
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6354
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5938
102.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2863
53.7 IPS |
