ASUS System Product Name
Geekbench AI Score
48316
Single Precision Score
71631
Half Precision Score
35333
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 12:45 PM |
| Views | 8 |
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. PRIME Z790-A WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17605
3.27 KIPS |
|
|
Image Classification (HP)
|
100% |
22810
4.24 KIPS |
|
|
Image Classification (Q)
|
100% |
15165
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38537
624.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
48501
786.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
34489
560.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
401951
469.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
981538
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
325894
381.7 IPS |
|
|
Object Detection (SP)
|
100% |
23702
1.88 KIPS |
|
|
Object Detection (HP)
|
100% |
30494
2.42 KIPS |
|
|
Object Detection (Q)
|
85% |
19515
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
71074
844.5 IPS |
|
|
Face Detection (HP)
|
100% |
92449
1.10 KIPS |
|
|
Face Detection (Q)
|
97% |
56373
672.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
106519
820.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
191312
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77293
619.1 IPS |
|
|
Style Transfer (SP)
|
100% |
601488
773.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1668022
2.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
504582
650.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73692
2.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95540
3.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52556
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
4266
5.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5112
6.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2477
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7493
129.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7455
128.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3186
59.8 IPS |
