iPhone 15
Geekbench ML Score
3527
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 04 2024 11:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1440
269.5 IPS |
|
|
Image Classification (F16)
|
100% |
1866
349.1 IPS |
|
|
Image Classification (I8)
|
99% |
1874
350.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
859
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
854
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5791
7.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
13954
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14083
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1444
107.8 IPS |
|
|
Object Detection (F16)
|
100% |
2007
149.8 IPS |
|
|
Object Detection (I8)
|
97% |
1470
109.7 IPS |
|
|
Face Detection (F32)
|
100% |
2755
32.8 IPS |
|
|
Face Detection (F16)
|
97% |
4272
50.8 IPS |
|
|
Face Detection (I8)
|
97% |
4271
50.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5247
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8615
66.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8496
65.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17090
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26439
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26379
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4022
143.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5087
181.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5068
181.0 IPS |
|
|
Text Classification (F32)
|
100% |
2365
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
4074
5.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3980
5.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1183
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1410
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1112
20.5 IPS |
