iPhone 15
Geekbench ML Score
4113
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 03:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1391
260.3 IPS |
|
|
Image Classification (F16)
|
100% |
2494
466.7 IPS |
|
|
Image Classification (I8)
|
99% |
2530
473.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
991
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1269
21.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1277
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6995
8.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
14712
17.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14708
17.8 IPS |
|
|
Object Detection (F32)
|
100% |
1498
111.8 IPS |
|
|
Object Detection (F16)
|
100% |
2448
182.7 IPS |
|
|
Object Detection (I8)
|
97% |
1500
111.9 IPS |
|
|
Face Detection (F32)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
5940
70.6 IPS |
|
|
Face Detection (I8)
|
97% |
5957
70.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6255
48.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12237
94.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
12243
94.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18684
24.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27738
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27786
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4356
155.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5107
182.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5024
179.4 IPS |
|
|
Text Classification (F32)
|
100% |
2419
3.48 KIPS |
|
|
Text Classification (F16)
|
100% |
4363
6.27 KIPS |
|
|
Text Classification (I8)
|
96% |
4429
6.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1328
24.4 IPS |
