iPhone 13
Geekbench ML Score
2189
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 09:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 3.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
578
108.1 IPS |
|
|
Image Classification (F16)
|
100% |
799
149.5 IPS |
|
|
Image Classification (I8)
|
99% |
750
140.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1173
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1177
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1188
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8738
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
9769
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
9632
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1083
80.8 IPS |
|
|
Object Detection (F16)
|
100% |
999
74.6 IPS |
|
|
Object Detection (I8)
|
97% |
1535
114.6 IPS |
|
|
Face Detection (F32)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (F16)
|
98% |
4276
50.8 IPS |
|
|
Face Detection (I8)
|
97% |
4395
52.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7546
58.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6249
48.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
5996
46.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16649
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
19506
25.7 IPS |
|
|
Style Transfer (I8)
|
100% |
19342
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3173
113.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3014
107.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3104
110.9 IPS |
|
|
Text Classification (F32)
|
100% |
593
852.7 IPS |
|
|
Text Classification (F16)
|
100% |
371
532.7 IPS |
|
|
Text Classification (I8)
|
96% |
216
309.8 IPS |
|
|
Machine Translation (F32)
|
100% |
486
8.95 IPS |
|
|
Machine Translation (F16)
|
100% |
534
9.83 IPS |
|
|
Machine Translation (I8)
|
99% |
479
8.81 IPS |
