ASUS System Product Name
Geekbench AI Score
5528
Single Precision Score
1796
Half Precision Score
7144
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 02:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4408
819.7 IPS |
|
|
Image Classification (HP)
|
100% |
650
121.0 IPS |
|
|
Image Classification (Q)
|
99% |
7371
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3562
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10117
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5088
5.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
33767
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
4135
328.0 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.4 IPS |
|
|
Object Detection (Q)
|
86% |
6753
542.8 IPS |
|
|
Face Detection (SP)
|
100% |
11666
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
1947
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
11056
131.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12643
97.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2388
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18729
149.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24441
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12516
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29357
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3708
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2371
87.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5102
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
552
739.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2511
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3381
67.9 IPS |
