GPD G1618-04
Geekbench AI Score
7256
Single Precision Score
8544
Half Precision Score
5429
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | October 28 2024 02:46 AM |
| Views | 10 |
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% |
2836
527.4 IPS |
|
|
Image Classification (HP)
|
100% |
3527
655.9 IPS |
|
|
Image Classification (Q)
|
100% |
2521
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4330
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4363
70.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3385
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31955
37.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53213
62.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25930
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
3170
251.4 IPS |
|
|
Object Detection (Q)
|
89% |
2320
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
5922
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
9392
111.6 IPS |
|
|
Face Detection (Q)
|
97% |
4681
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16263
125.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21518
165.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
12192
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53793
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86636
111.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42634
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11336
418.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16749
618.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8686
321.6 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1501
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1366
30.5 IPS |
