MECHREVO Jiaolong15K Series GM5BG0E
Geekbench AI Score
1865
Single Precision Score
849
Half Precision Score
3003
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 15 2025 06:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MECHREVO Jiaolong15K Series GM5BG0E |
| Motherboard | MECHREVO GM5BG0E |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1646
306.1 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
96% |
2958
552.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
3557
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2397
2.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
5440
6.43 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
58% |
1687
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3373
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
867
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
4586
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3703
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1152
8.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
5513
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7226
9.29 IPS |
|
|
Style Transfer (HP)
|
100% |
5839
7.51 IPS |
|
|
Style Transfer (Q)
|
87% |
10295
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.2 IPS |
|
|
Text Classification (Q)
|
97% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1545
29.8 IPS |
