ASUS System Product Name
Geekbench AI Score
2506
Single Precision Score
713
Half Precision Score
2849
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Nigol |
| Upload Date | November 30 2024 05:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1607
298.8 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.4 IPS |
|
|
Image Classification (Q)
|
93% |
2088
390.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1805
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4866
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3629
4.23 IPS |
|
|
Pose Estimation (Q)
|
87% |
8150
9.63 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.1 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
86% |
1477
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
96% |
3453
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5084
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.37 IPS |
|
|
Depth Estimation (Q)
|
77% |
4116
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11269
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8746
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12301
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2524
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
514
685.5 IPS |
|
|
Text Classification (Q)
|
97% |
1160
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (Q)
|
60% |
1519
33.9 IPS |
