GPD G1618-04
Geekbench AI Score
4050
Single Precision Score
4132
Half Precision Score
11873
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | October 28 2024 02:49 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GPD G1618-04 |
| Motherboard | GPD G1618-04 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2757
512.6 IPS |
|
|
Image Classification (HP)
|
100% |
2930
545.0 IPS |
|
|
Image Classification (Q)
|
100% |
7936
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6875
111.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5689
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5685
6.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
22434
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (Q)
|
88% |
7866
630.5 IPS |
|
|
Face Detection (SP)
|
100% |
6214
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
5758
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
20344
241.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7284
56.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
7610
58.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
19435
154.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14081
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15724
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
53415
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3210
118.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3304
122.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10683
395.6 IPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
4184
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4074
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4113
70.8 IPS |
|
|
Machine Translation (Q)
|
85% |
6130
107.1 IPS |
