ASUS System Product Name
Geekbench AI Score
25398
Single Precision Score
47859
Half Precision Score
19460
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2026 11:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B860-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 800 MHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10809
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
19572
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
9862
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19031
308.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
29123
472.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17301
281.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
130274
152.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
432631
504.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
121483
142.3 IPS |
|
|
Object Detection (SP)
|
100% |
13066
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
23895
1.90 KIPS |
|
|
Object Detection (Q)
|
83% |
11183
903.5 IPS |
|
|
Face Detection (SP)
|
100% |
34558
410.6 IPS |
|
|
Face Detection (HP)
|
100% |
58586
696.1 IPS |
|
|
Face Detection (Q)
|
97% |
29900
356.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
59092
455.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
125830
969.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
47380
378.2 IPS |
|
|
Style Transfer (SP)
|
100% |
186029
239.1 IPS |
|
|
Style Transfer (HP)
|
100% |
655929
843.2 IPS |
|
|
Style Transfer (Q)
|
98% |
160414
206.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36474
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72629
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27601
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2452
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5754
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6340
109.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2185
41.0 IPS |
