ASUS System Product Name
Geekbench AI Score
1550
Single Precision Score
1547
Half Precision Score
942
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Nigol |
| Upload Date | November 30 2024 04:50 AM |
| Views | 4 |
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% |
1204
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (Q)
|
99% |
578
107.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1397
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
661
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1847
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1768
2.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
1757
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (Q)
|
85% |
687
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1481
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1810
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1819
14.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1276
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2269
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
2280
2.93 IPS |
|
|
Style Transfer (Q)
|
98% |
3447
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
926
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
459
616.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1740
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (Q)
|
58% |
432
10.1 IPS |
