iPhone 14
Geekbench ML Score
1855
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 20 2024 01:02 AM |
| Views | 5 |
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% |
822
153.9 IPS |
|
|
Image Classification (F16)
|
100% |
759
142.1 IPS |
|
|
Image Classification (I8)
|
99% |
736
137.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
566
9.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
527
8.81 IPS |
|
|
Image Segmentation (I8)
|
100% |
532
8.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
5219
6.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
9553
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9484
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1008
75.2 IPS |
|
|
Object Detection (F16)
|
100% |
1023
76.4 IPS |
|
|
Object Detection (I8)
|
97% |
1035
77.3 IPS |
|
|
Face Detection (F32)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1519
18.1 IPS |
|
|
Face Detection (I8)
|
99% |
1541
18.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3231
25.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3657
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3606
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9794
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11612
15.3 IPS |
|
|
Style Transfer (I8)
|
100% |
11446
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2367
84.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2545
90.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2558
91.3 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
484
695.1 IPS |
|
|
Text Classification (I8)
|
96% |
611
878.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1344
24.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1721
31.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1319
24.3 IPS |
