iPhone 14
Geekbench ML Score
1798
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 04 2025 12:32 AM |
| 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% |
931
174.2 IPS |
|
|
Image Classification (F16)
|
100% |
900
168.4 IPS |
|
|
Image Classification (I8)
|
99% |
889
166.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
599
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
520
8.69 IPS |
|
|
Image Segmentation (I8)
|
100% |
507
8.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
5118
6.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
9529
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9335
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
1010
75.4 IPS |
|
|
Object Detection (F16)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (I8)
|
97% |
1016
75.9 IPS |
|
|
Face Detection (F32)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (I8)
|
99% |
1464
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3060
23.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3437
26.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3300
25.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9059
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10135
13.3 IPS |
|
|
Style Transfer (I8)
|
100% |
10642
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2161
77.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2293
81.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2342
83.7 IPS |
|
|
Text Classification (F32)
|
100% |
949
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
436
626.3 IPS |
|
|
Text Classification (I8)
|
96% |
571
820.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1201
22.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1577
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1250
23.0 IPS |
