ASUS System Product Name
Geekbench AI Score
5504
Single Precision Score
1887
Half Precision Score
9520
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | September 06 2025 07:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A D4 |
| Power Plan | Ausbalanciert |
| 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% |
4643
863.4 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.4 IPS |
|
|
Image Classification (Q)
|
99% |
7354
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12657
205.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10263
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5119
5.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
33707
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
4029
319.6 IPS |
|
|
Object Detection (HP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
86% |
8003
643.2 IPS |
|
|
Face Detection (SP)
|
100% |
11384
135.3 IPS |
|
|
Face Detection (HP)
|
100% |
2035
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
12053
143.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11940
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2430
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19393
154.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23701
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12818
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24026
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3920
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2413
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6498
240.6 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1728
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3864
77.6 IPS |
