ASUS System Product Name
Geekbench AI Score
18299
Single Precision Score
31399
Half Precision Score
14222
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | batu69 |
| Upload Date | September 01 2025 03:39 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7321
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
13062
2.44 KIPS |
|
|
Image Classification (Q)
|
99% |
6693
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12952
210.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18167
294.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11831
192.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
91950
107.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
257276
300.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
81606
95.6 IPS |
|
|
Object Detection (SP)
|
100% |
9129
724.1 IPS |
|
|
Object Detection (HP)
|
100% |
16492
1.31 KIPS |
|
|
Object Detection (Q)
|
84% |
7917
638.5 IPS |
|
|
Face Detection (SP)
|
100% |
20181
239.8 IPS |
|
|
Face Detection (HP)
|
100% |
35662
423.7 IPS |
|
|
Face Detection (Q)
|
97% |
17767
211.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
42542
327.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84077
647.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
34620
277.0 IPS |
|
|
Style Transfer (SP)
|
100% |
147259
189.3 IPS |
|
|
Style Transfer (HP)
|
100% |
362929
466.6 IPS |
|
|
Style Transfer (Q)
|
98% |
131406
169.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29621
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49202
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22289
825.3 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2035
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4018
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1806
33.9 IPS |
