iPhone 15
Geekbench ML Score
5814
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 04:04 PM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
935
175.0 IPS |
|
|
Image Classification (F16)
|
100% |
5457
1.02 KIPS |
|
|
Image Classification (I8)
|
99% |
5695
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1341
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1965
32.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1998
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
11434
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
79277
96.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
82992
100.5 IPS |
|
|
Object Detection (F32)
|
100% |
1279
95.5 IPS |
|
|
Object Detection (F16)
|
100% |
3535
263.9 IPS |
|
|
Object Detection (I8)
|
97% |
1177
87.9 IPS |
|
|
Face Detection (F32)
|
100% |
5170
61.5 IPS |
|
|
Face Detection (F16)
|
97% |
11781
140.1 IPS |
|
|
Face Detection (I8)
|
96% |
11809
140.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7535
58.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
30415
235.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
35656
276.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20281
26.7 IPS |
|
|
Style Transfer (F16)
|
100% |
114129
150.1 IPS |
|
|
Style Transfer (I8)
|
100% |
115190
151.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3527
126.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17948
641.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17400
621.4 IPS |
|
|
Text Classification (F32)
|
100% |
2430
3.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1750
2.51 KIPS |
|
|
Text Classification (I8)
|
96% |
2122
3.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
308
5.66 IPS |
|
|
Machine Translation (F16)
|
100% |
1017
18.7 IPS |
|
|
Machine Translation (I8)
|
99% |
289
5.32 IPS |
