HONOR GOH-X
Geekbench AI Score
2929
Single Precision Score
1400
Half Precision Score
4595
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 08 2025 03:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | HONOR GOH-X |
| Motherboard | HONOR GOH-X-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2562
476.5 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (Q)
|
96% |
4085
762.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
4448
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4762
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
9360
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.6 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.2 IPS |
|
|
Object Detection (Q)
|
58% |
2809
306.9 IPS |
|
|
Face Detection (SP)
|
100% |
3724
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
6666
79.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6485
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2111
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8473
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11252
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9523
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13075
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3542
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1442
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2014
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2333
45.1 IPS |
