GNA enabled ASUS System Product Name
Geekbench AI Score
3422
Single Precision Score
3408
Half Precision Score
2257
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | kyledross |
| Upload Date | May 12 2025 06:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PRO WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 6.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.1 IPS |
|
|
Image Classification (Q)
|
99% |
1391
259.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3777
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3732
60.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1572
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4688
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4582
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
5538
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
2912
231.0 IPS |
|
|
Object Detection (HP)
|
100% |
2915
231.2 IPS |
|
|
Object Detection (Q)
|
85% |
1973
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
5050
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
5036
59.8 IPS |
|
|
Face Detection (Q)
|
97% |
3631
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4328
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4328
33.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3030
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5365
6.90 IPS |
|
|
Style Transfer (HP)
|
100% |
5373
6.91 IPS |
|
|
Style Transfer (Q)
|
98% |
9169
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2389
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2021
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1646
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
891
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (Q)
|
58% |
792
18.6 IPS |
