AOC AOC M7
Geekbench AI Score
1595
Single Precision Score
1599
Half Precision Score
1145
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | December 20 2025 11:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | AOC AOC M7 |
| Motherboard | AOC AOC ARB20X |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1010
187.8 IPS |
|
|
Image Classification (HP)
|
100% |
1019
189.4 IPS |
|
|
Image Classification (Q)
|
99% |
1045
195.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1937
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
2394
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (HP)
|
100% |
1148
91.0 IPS |
|
|
Object Detection (Q)
|
85% |
761
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
1710
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2087
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2079
16.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1374
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2782
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2795
3.59 IPS |
|
|
Style Transfer (Q)
|
98% |
4304
5.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1073
39.8 IPS |
|
|
Text Classification (SP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1131
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
564
757.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (Q)
|
58% |
468
11.0 IPS |
