ASUS System Product Name
Geekbench AI Score
18273
Single Precision Score
33044
Half Precision Score
14227
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7710
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
14667
2.73 KIPS |
|
|
Image Classification (Q)
|
99% |
7016
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11471
186.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16053
260.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10832
176.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
92871
108.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
278042
324.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
78970
92.5 IPS |
|
|
Object Detection (SP)
|
100% |
9765
774.6 IPS |
|
|
Object Detection (HP)
|
100% |
15958
1.27 KIPS |
|
|
Object Detection (Q)
|
83% |
8513
687.8 IPS |
|
|
Face Detection (SP)
|
100% |
21974
261.1 IPS |
|
|
Face Detection (HP)
|
100% |
34825
413.8 IPS |
|
|
Face Detection (Q)
|
97% |
20294
242.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
45058
347.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95419
735.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36694
293.4 IPS |
|
|
Style Transfer (SP)
|
100% |
142545
183.2 IPS |
|
|
Style Transfer (HP)
|
100% |
486649
625.6 IPS |
|
|
Style Transfer (Q)
|
98% |
118557
152.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27450
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54069
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20834
771.5 IPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4412
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2143
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3852
66.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1688
31.7 IPS |
