HUAWEI ALT-AL00
Geekbench AI Score
285
Single Precision Score
11118
Half Precision Score
29516
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 07:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI ALT-AL00 |
| Model ID | HUAWEI ALT-AL00 |
| Motherboard | ALT |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
8513
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
24959
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
6722
109.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19558
318.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
36974
43.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
224544
263.3 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
7771
616.4 IPS |
|
|
Object Detection (Q)
|
88% |
11881
951.8 IPS |
|
|
Face Detection (SP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (HP)
|
100% |
17803
211.5 IPS |
|
|
Face Detection (Q)
|
97% |
66924
798.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
343
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
28081
217.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
65227
600.5 IPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
98% |
39455
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
225084
290.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21551
795.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
71191
2.64 KIPS |
|
|
Text Classification (SP)
|
100% |
219
292.3 IPS |
|
|
Text Classification (HP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (Q)
|
94% |
4513
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (Q)
|
50% |
1221
42.3 IPS |
