HMD Global HMD CREST
Geekbench AI Score
331
Single Precision Score
324
Half Precision Score
133
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 02:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HMD Global HMD CREST |
| Model ID | HMD Global HMD CREST |
| Motherboard | Arrow |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.6 IPS |
|
|
Image Classification (Q)
|
99% |
24
4.49 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
142
2.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1672
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
15141
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
60
4.80 IPS |
|
|
Object Detection (HP)
|
100% |
62
4.89 IPS |
|
|
Object Detection (Q)
|
86% |
26
2.11 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
45
0.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1135
8.74 IPS |
|
|
Depth Estimation (HP)
|
98% |
906
7.00 IPS |
|
|
Depth Estimation (Q)
|
66% |
161
1.42 IPS |
|
|
Style Transfer (SP)
|
100% |
683
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
250
0.32 IPS |
|
|
Style Transfer (Q)
|
98% |
618
0.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1875
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
45
59.9 IPS |
|
|
Text Classification (HP)
|
100% |
99
132.1 IPS |
|
|
Text Classification (Q)
|
0
|
||
|
Machine Translation (SP)
|
100% |
100
1.72 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (Q)
|
57% |
155
3.79 IPS |
