ASUS System Product Name
Geekbench AI Score
2027
Single Precision Score
1996
Half Precision Score
1370
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AnomandarisPurake |
| Upload Date | January 15 2025 06:44 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-12600K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z690-PLUS WIFI D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
1538
286.0 IPS |
|
|
Image Classification (Q)
|
99% |
1019
190.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1036
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2625
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2576
3.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2752
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (HP)
|
100% |
1626
129.0 IPS |
|
|
Object Detection (Q)
|
85% |
986
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
2265
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2428
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2390
18.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1851
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3108
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2997
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
5248
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1354
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
479
643.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (Q)
|
58% |
572
13.4 IPS |
