GPD G1618-04
Geekbench AI Score
7550
Single Precision Score
9900
Half Precision Score
5672
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 08:02 PM |
| Views | 12 |
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% |
2986
555.3 IPS |
|
|
Image Classification (HP)
|
100% |
3809
708.4 IPS |
|
|
Image Classification (Q)
|
100% |
2563
476.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4309
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4472
72.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3494
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
33964
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
56750
66.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27957
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (Q)
|
89% |
2361
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
6097
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
9903
117.7 IPS |
|
|
Face Detection (Q)
|
97% |
4708
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17235
132.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22847
176.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
13322
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57753
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
92362
118.7 IPS |
|
|
Style Transfer (Q)
|
98% |
46203
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12449
459.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17193
634.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8921
330.3 IPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3079
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1414
31.6 IPS |
