GPD G1618-04
Geekbench AI Score
4405
Single Precision Score
4460
Half Precision Score
12798
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 08:04 PM |
| 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% |
2976
553.5 IPS |
|
|
Image Classification (HP)
|
100% |
3014
560.5 IPS |
|
|
Image Classification (Q)
|
100% |
8206
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7002
113.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6038
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6133
7.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
24646
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (Q)
|
88% |
8349
669.3 IPS |
|
|
Face Detection (SP)
|
100% |
6160
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
6072
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
20508
243.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7649
58.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
7711
59.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
21561
170.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16474
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16814
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
63308
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3519
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3595
132.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12394
459.0 IPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
4835
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (Q)
|
85% |
5946
103.9 IPS |
