iPhone 14
Geekbench ML Score
1875
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 04:45 PM |
| Views | 3 |
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% |
936
175.1 IPS |
|
|
Image Classification (F16)
|
100% |
901
168.6 IPS |
|
|
Image Classification (I8)
|
99% |
901
168.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
532
8.89 IPS |
|
|
Image Segmentation (I8)
|
100% |
527
8.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
5263
6.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
9418
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9351
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (F16)
|
100% |
1023
76.4 IPS |
|
|
Object Detection (I8)
|
97% |
1023
76.4 IPS |
|
|
Face Detection (F32)
|
100% |
1679
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (I8)
|
99% |
1495
17.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3187
24.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3669
28.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3540
27.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9704
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11249
14.8 IPS |
|
|
Style Transfer (I8)
|
100% |
11285
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2370
84.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2561
91.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2564
91.6 IPS |
|
|
Text Classification (F32)
|
100% |
986
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
466
670.2 IPS |
|
|
Text Classification (I8)
|
96% |
606
871.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1332
24.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1713
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1300
23.9 IPS |
