iPhone 14
Geekbench ML Score
1891
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 05 2025 08:32 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% |
958
179.2 IPS |
|
|
Image Classification (F16)
|
100% |
918
171.8 IPS |
|
|
Image Classification (I8)
|
99% |
910
170.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
611
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
536
8.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
538
8.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
5381
6.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
9634
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9525
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1051
78.4 IPS |
|
|
Object Detection (F16)
|
100% |
1044
77.9 IPS |
|
|
Object Detection (I8)
|
97% |
1026
76.6 IPS |
|
|
Face Detection (F32)
|
100% |
1702
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (I8)
|
99% |
1509
17.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3108
24.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3557
27.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
3474
26.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9476
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11251
14.8 IPS |
|
|
Style Transfer (I8)
|
100% |
11367
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2397
85.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2554
91.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2556
91.3 IPS |
|
|
Text Classification (F32)
|
100% |
989
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
472
678.5 IPS |
|
|
Text Classification (I8)
|
96% |
642
922.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1688
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1297
23.9 IPS |
