HONOR GOH-X
Geekbench AI Score
3578
Single Precision Score
3596
Half Precision Score
6160
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 08 2025 03:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H with Radeon Graphics |
| 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% |
2480
461.2 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.7 IPS |
|
|
Image Classification (Q)
|
100% |
4129
767.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1126
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4305
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5004
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4972
5.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
10428
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
2319
183.9 IPS |
|
|
Object Detection (Q)
|
87% |
4083
327.5 IPS |
|
|
Face Detection (SP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (Q)
|
97% |
11073
132.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6422
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6304
48.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
11175
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14302
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14408
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30275
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2906
107.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2974
109.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6434
238.3 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2669
3.56 KIPS |
|
|
Text Classification (Q)
|
91% |
1232
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3501
60.3 IPS |
