MECHREVO JIAOLONG Series
Geekbench AI Score
5476
Single Precision Score
2534
Half Precision Score
10888
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9955HX 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MECHREVO JIAOLONG Series |
| Motherboard | MECHREVO JIAOLONG Series-X6xR55xK |
| Power Plan | Advanced SystemCare Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3970
738.3 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.8 IPS |
|
|
Image Classification (Q)
|
99% |
11053
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16184
263.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15967
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12962
15.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
56601
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
4285
339.9 IPS |
|
|
Object Detection (HP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (Q)
|
86% |
11462
921.2 IPS |
|
|
Face Detection (SP)
|
100% |
7060
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
12944
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14397
110.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3708
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
26761
213.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31186
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26924
34.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36856
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4179
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3473
128.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2751
101.9 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1681
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3418
68.7 IPS |
