iPhone 14
Geekbench ML Score
2438
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 02:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
682
127.6 IPS |
|
|
Image Classification (F16)
|
100% |
1070
200.2 IPS |
|
|
Image Classification (I8)
|
99% |
834
156.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1283
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1301
21.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1272
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10580
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
11967
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11728
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1264
94.4 IPS |
|
|
Object Detection (F16)
|
100% |
1072
80.0 IPS |
|
|
Object Detection (I8)
|
97% |
1178
87.9 IPS |
|
|
Face Detection (F32)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (F16)
|
98% |
5535
65.8 IPS |
|
|
Face Detection (I8)
|
97% |
5095
60.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8678
67.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9442
73.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
8495
65.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18920
24.9 IPS |
|
|
Style Transfer (F16)
|
100% |
23428
30.8 IPS |
|
|
Style Transfer (I8)
|
100% |
23462
30.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3713
132.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3654
130.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3522
125.8 IPS |
|
|
Text Classification (F32)
|
100% |
355
510.4 IPS |
|
|
Text Classification (F16)
|
100% |
356
511.3 IPS |
|
|
Text Classification (I8)
|
96% |
224
322.1 IPS |
|
|
Machine Translation (F32)
|
100% |
468
8.62 IPS |
|
|
Machine Translation (F16)
|
100% |
496
9.13 IPS |
|
|
Machine Translation (I8)
|
99% |
487
8.96 IPS |
