AZW GTR
Geekbench AI Score
2977
Single Precision Score
1335
Half Precision Score
4690
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ery |
| Upload Date | December 04 2024 10:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTR |
| Motherboard | AZW GTR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
99% |
6536
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
986
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1925
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3772
4.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
19679
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
86% |
4348
349.5 IPS |
|
|
Face Detection (SP)
|
100% |
4552
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
1292
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
8413
100.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5975
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6893
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13221
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10870
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25980
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2674
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
707
943.8 IPS |
|
|
Text Classification (Q)
|
97% |
415
556.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2171
43.6 IPS |
