ASUS System Product Name
Geekbench AI Score
3464
Single Precision Score
3461
Half Precision Score
5335
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Nigol |
| Upload Date | November 30 2024 05:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400F CPU @ 2.90GHz |
| 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% |
2227
414.2 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (Q)
|
100% |
3389
630.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4449
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
8917
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2175
172.5 IPS |
|
|
Object Detection (HP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (Q)
|
87% |
3565
285.9 IPS |
|
|
Face Detection (SP)
|
100% |
4211
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (Q)
|
97% |
9031
107.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5966
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5950
45.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
9743
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13241
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13227
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25684
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2750
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5342
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (Q)
|
91% |
1446
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2957
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2974
51.2 IPS |
