ASUS System Product Name
Geekbench AI Score
50
Single Precision Score
48
Half Precision Score
50
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 28 2024 11:47 PM |
| 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% |
21
3.92 IPS |
|
|
Image Classification (HP)
|
100% |
20
3.74 IPS |
|
|
Image Classification (Q)
|
99% |
18
3.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
82
1.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
78
1.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
74
1.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
554
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
20
1.61 IPS |
|
|
Object Detection (HP)
|
100% |
20
1.61 IPS |
|
|
Object Detection (Q)
|
85% |
21
1.72 IPS |
|
|
Face Detection (SP)
|
100% |
81
0.96 IPS |
|
|
Face Detection (HP)
|
100% |
81
0.96 IPS |
|
|
Face Detection (Q)
|
97% |
77
0.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
90
0.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
91
0.70 IPS |
|
|
Depth Estimation (Q)
|
63% |
74
0.69 IPS |
|
|
Style Transfer (SP)
|
100% |
839
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
728
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
1124
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49
1.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49
1.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
48
1.78 IPS |
|
|
Text Classification (SP)
|
100% |
3
3.53 IPS |
|
|
Text Classification (HP)
|
100% |
3
3.47 IPS |
|
|
Text Classification (Q)
|
92% |
3
3.85 IPS |
|
|
Machine Translation (SP)
|
100% |
8
0.14 IPS |
|
|
Machine Translation (HP)
|
100% |
8
0.13 IPS |
|
|
Machine Translation (Q)
|
58% |
7
0.16 IPS |
