iPhone 15
Geekbench ML Score
3556
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Alex1974 |
| Upload Date | June 11 2024 07:33 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1449
271.2 IPS |
|
|
Image Classification (F16)
|
100% |
1868
349.5 IPS |
|
|
Image Classification (I8)
|
99% |
1876
351.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
871
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5925
7.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
14432
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14138
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1464
109.3 IPS |
|
|
Object Detection (F16)
|
100% |
1997
149.1 IPS |
|
|
Object Detection (I8)
|
97% |
1451
108.4 IPS |
|
|
Face Detection (F32)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
4338
51.6 IPS |
|
|
Face Detection (I8)
|
97% |
4353
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5308
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8828
68.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8801
68.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17270
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26472
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26382
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4021
143.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5034
179.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5106
182.3 IPS |
|
|
Text Classification (F32)
|
100% |
2379
3.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3981
5.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3959
5.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1190
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1437
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1127
20.7 IPS |
