iPhone 14
Geekbench ML Score
1840
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 06:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
951
178.0 IPS |
|
|
Image Classification (F16)
|
100% |
858
160.6 IPS |
|
|
Image Classification (I8)
|
99% |
851
159.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
526
8.78 IPS |
|
|
Image Segmentation (I8)
|
100% |
519
8.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
4942
5.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
9520
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9191
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
983
73.4 IPS |
|
|
Object Detection (F16)
|
100% |
986
73.6 IPS |
|
|
Object Detection (I8)
|
97% |
1013
75.6 IPS |
|
|
Face Detection (F32)
|
100% |
1660
19.7 IPS |
|
|
Face Detection (F16)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (I8)
|
99% |
1487
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3072
23.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3515
27.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
3419
26.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9294
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
11040
14.5 IPS |
|
|
Style Transfer (I8)
|
100% |
10891
14.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2321
82.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2551
91.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2523
90.1 IPS |
|
|
Text Classification (F32)
|
100% |
998
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
465
667.8 IPS |
|
|
Text Classification (I8)
|
96% |
620
891.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1318
24.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1666
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1282
23.6 IPS |
