ASUS System Product Name
Geekbench AI Score
1784
Single Precision Score
1829
Half Precision Score
1203
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | CSIridges |
| Upload Date | September 11 2025 05:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS WIFI D4 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
785
145.9 IPS |
|
|
Image Classification (HP)
|
100% |
801
149.0 IPS |
|
|
Image Classification (Q)
|
100% |
657
122.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
813
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5425
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5958
6.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3648
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (HP)
|
98% |
732
58.2 IPS |
|
|
Object Detection (Q)
|
86% |
718
57.8 IPS |
|
|
Face Detection (SP)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1285
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3212
24.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3560
27.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2380
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11151
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15009
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8289
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
973
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
500
668.0 IPS |
|
|
Text Classification (Q)
|
97% |
450
602.9 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
70% |
410
7.69 IPS |
