ASUS System Product Name
Geekbench AI Score
5797
Single Precision Score
1809
Half Precision Score
9037
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | thajonah |
| Upload Date | January 01 2025 01:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4781
889.1 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
99% |
7737
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4579
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11203
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5043
5.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
36191
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
4324
342.9 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
7955
639.4 IPS |
|
|
Face Detection (SP)
|
100% |
12240
145.4 IPS |
|
|
Face Detection (HP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
12764
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13480
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2361
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19270
153.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25643
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12322
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30464
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2294
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6252
231.5 IPS |
|
|
Text Classification (SP)
|
100% |
1922
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2040
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3728
74.9 IPS |
