MECHREVO Jiaolong Series GM7ZG8M
Geekbench AI Score
1927
Single Precision Score
879
Half Precision Score
2852
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 04:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO Jiaolong Series GM7ZG8M |
| Motherboard | MECHREVO GM7ZG8M |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (Q)
|
96% |
3705
691.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
1414
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3051
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2527
2.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
8027
9.49 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
58% |
1858
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
5494
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4164
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1339
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7307
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7861
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6396
8.22 IPS |
|
|
Style Transfer (Q)
|
87% |
11885
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1954
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.0 IPS |
|
|
Text Classification (Q)
|
97% |
314
420.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.24 IPS |
|
|
Machine Translation (Q)
|
68% |
1560
30.1 IPS |
