iPhone 15
Geekbench ML Score
3505
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 08:50 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1456
272.5 IPS |
|
|
Image Classification (F16)
|
100% |
1860
348.1 IPS |
|
|
Image Classification (I8)
|
99% |
1883
352.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
873
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
863
14.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
851
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5662
6.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
13961
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13872
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1433
107.0 IPS |
|
|
Object Detection (F16)
|
100% |
1999
149.2 IPS |
|
|
Object Detection (I8)
|
97% |
1454
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
2704
32.2 IPS |
|
|
Face Detection (F16)
|
97% |
4250
50.5 IPS |
|
|
Face Detection (I8)
|
97% |
4229
50.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5137
39.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8531
66.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8547
66.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16932
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26267
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26183
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4006
143.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5241
187.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5093
181.9 IPS |
|
|
Text Classification (F32)
|
100% |
2384
3.43 KIPS |
|
|
Text Classification (F16)
|
100% |
3924
5.64 KIPS |
|
|
Text Classification (I8)
|
96% |
3972
5.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
1162
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1076
19.8 IPS |
