ASUS System Product Name
Geekbench AI Score
54
Single Precision Score
45
Half Precision Score
34
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | December 29 2024 12:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
20
3.71 IPS |
|
|
Image Classification (Q)
|
97% |
13
2.39 IPS |
|
|
Image Segmentation (SP)
|
100% |
31
0.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
28
0.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
23
0.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
46
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
45
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
38
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
18
1.40 IPS |
|
|
Object Detection (HP)
|
100% |
18
1.44 IPS |
|
|
Object Detection (Q)
|
87% |
15
1.23 IPS |
|
|
Face Detection (SP)
|
100% |
66
0.78 IPS |
|
|
Face Detection (HP)
|
100% |
65
0.77 IPS |
|
|
Face Detection (Q)
|
97% |
55
0.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
56
0.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
53
0.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
40
0.37 IPS |
|
|
Style Transfer (SP)
|
100% |
180
0.23 IPS |
|
|
Style Transfer (HP)
|
100% |
157
0.20 IPS |
|
|
Style Transfer (Q)
|
98% |
144
0.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43
1.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
33
1.23 IPS |
|
|
Text Classification (SP)
|
100% |
58
77.8 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.1 IPS |
|
|
Text Classification (Q)
|
91% |
33
44.6 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.11 IPS |
|
|
Machine Translation (HP)
|
100% |
68
1.17 IPS |
|
|
Machine Translation (Q)
|
58% |
39
0.93 IPS |
