ASUS System Product Name
Geekbench AI Score
10283
Single Precision Score
8081
Half Precision Score
7416
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | yosstu1000 |
| Upload Date | January 03 2026 06:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4275
795.0 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.8 IPS |
|
|
Image Classification (Q)
|
99% |
3440
641.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7290
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5914
95.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6136
99.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
40884
47.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24494
28.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
35783
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
5136
407.4 IPS |
|
|
Object Detection (HP)
|
100% |
4703
373.0 IPS |
|
|
Object Detection (Q)
|
83% |
4179
337.6 IPS |
|
|
Face Detection (SP)
|
100% |
12011
142.7 IPS |
|
|
Face Detection (HP)
|
100% |
9962
118.4 IPS |
|
|
Face Detection (Q)
|
97% |
10350
123.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24244
186.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18056
139.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18032
143.9 IPS |
|
|
Style Transfer (SP)
|
100% |
72289
92.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49098
63.1 IPS |
|
|
Style Transfer (Q)
|
98% |
62412
80.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15257
563.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11227
414.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9731
360.3 IPS |
|
|
Text Classification (SP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1038
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1356
25.4 IPS |
