GPD G1619-04
Geekbench AI Score
6758
Single Precision Score
8519
Half Precision Score
5074
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | zgqinc |
| Upload Date | August 17 2024 04:12 AM |
| Views | 38 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GPD G1619-04 |
| Motherboard | GPD G1619-04 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2655
493.7 IPS |
|
|
Image Classification (HP)
|
100% |
3125
581.1 IPS |
|
|
Image Classification (Q)
|
100% |
2323
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3433
55.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3021
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32453
37.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
52489
61.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26099
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
2833
224.7 IPS |
|
|
Object Detection (Q)
|
89% |
2071
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
5245
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
8084
96.1 IPS |
|
|
Face Detection (Q)
|
97% |
4161
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15371
118.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19786
152.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
11887
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
52452
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
81031
104.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40715
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10954
404.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14945
551.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7912
293.0 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1505
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2652
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1244
27.7 IPS |
