ASUS All Series
Geekbench AI Score
5159
Single Precision Score
5148
Half Precision Score
3613
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | francorbacho |
| Upload Date | January 10 2026 11:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 970 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. Z87-K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4690K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2152
400.2 IPS |
|
|
Image Classification (HP)
|
100% |
2165
402.6 IPS |
|
|
Image Classification (Q)
|
99% |
1590
296.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3090
50.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2421
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19656
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18990
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16987
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (Q)
|
83% |
2119
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
4728
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
4902
58.2 IPS |
|
|
Face Detection (Q)
|
97% |
3665
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10256
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10122
78.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7814
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34262
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31571
40.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28971
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7481
276.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7497
276.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
713
955.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2246
38.8 IPS |
|
|
Machine Translation (Q)
|
70% |
935
17.5 IPS |
