ASUS System Product Name
Geekbench AI Score
1551
Single Precision Score
1554
Half Precision Score
945
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Nigol |
| Upload Date | December 02 2024 03:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-10400F |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H410M-A |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1213
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
1210
225.1 IPS |
|
|
Image Classification (Q)
|
99% |
581
108.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1391
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
664
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1778
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
1760
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.0 IPS |
|
|
Object Detection (HP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (Q)
|
85% |
690
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
1488
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1831
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1825
14.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1278
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2274
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
2280
2.93 IPS |
|
|
Style Transfer (Q)
|
98% |
3466
4.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
931
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1242
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
454
610.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (Q)
|
58% |
437
10.3 IPS |
