ASUS System Product Name
Geekbench AI Score
1546
Single Precision Score
1545
Half Precision Score
943
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Nigol |
| Upload Date | November 30 2024 05:01 AM |
| Views | 5 |
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% |
1215
225.9 IPS |
|
|
Image Classification (HP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (Q)
|
99% |
579
108.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1770
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1762
2.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
1756
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (Q)
|
85% |
689
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1487
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1821
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1812
14.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1274
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2246
2.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2259
2.90 IPS |
|
|
Style Transfer (Q)
|
98% |
3457
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1220
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
926
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
1277
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
455
611.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
58% |
439
10.3 IPS |
