ASUS System Product Name
Geekbench AI Score
14369
Single Precision Score
22758
Half Precision Score
11694
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 11:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z490-E GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5982
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
9657
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
5525
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8205
133.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9911
160.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7626
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
79102
92.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
214673
250.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
69513
81.4 IPS |
|
|
Object Detection (SP)
|
100% |
6842
542.7 IPS |
|
|
Object Detection (HP)
|
100% |
10668
846.2 IPS |
|
|
Object Detection (Q)
|
84% |
6247
503.9 IPS |
|
|
Face Detection (SP)
|
100% |
16345
194.2 IPS |
|
|
Face Detection (HP)
|
100% |
24281
288.5 IPS |
|
|
Face Detection (Q)
|
97% |
14976
178.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
38149
293.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
70433
542.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
31766
254.1 IPS |
|
|
Style Transfer (SP)
|
100% |
128845
165.6 IPS |
|
|
Style Transfer (HP)
|
100% |
305962
393.3 IPS |
|
|
Style Transfer (Q)
|
98% |
114981
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25054
925.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38683
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19151
709.1 IPS |
|
|
Text Classification (SP)
|
100% |
2867
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1794
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2555
44.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1391
26.1 IPS |
