GPD G1618-04
Geekbench AI Score
7494
Single Precision Score
9904
Half Precision Score
5670
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 08:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
2922
543.4 IPS |
|
|
Image Classification (HP)
|
100% |
3840
714.2 IPS |
|
|
Image Classification (Q)
|
100% |
2575
478.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4301
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4454
72.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3488
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33772
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
56369
65.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
27972
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
2716
215.4 IPS |
|
|
Object Detection (HP)
|
100% |
3383
268.3 IPS |
|
|
Object Detection (Q)
|
89% |
2345
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
9756
115.9 IPS |
|
|
Face Detection (Q)
|
97% |
4644
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16989
130.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22678
174.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
13027
106.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57683
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
94595
121.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46424
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12251
452.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17096
631.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8936
330.9 IPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1642
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3053
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1416
31.6 IPS |
