iPhone 13
Geekbench ML Score
1953
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 21 2024 04:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
538
100.7 IPS |
|
|
Image Classification (F16)
|
100% |
544
101.9 IPS |
|
|
Image Classification (I8)
|
99% |
533
99.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1129
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1170
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1173
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8954
10.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9942
12.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9610
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
999
74.6 IPS |
|
|
Object Detection (F16)
|
100% |
1026
76.6 IPS |
|
|
Object Detection (I8)
|
97% |
950
70.9 IPS |
|
|
Face Detection (F32)
|
100% |
3748
44.6 IPS |
|
|
Face Detection (F16)
|
97% |
2723
32.4 IPS |
|
|
Face Detection (I8)
|
96% |
2460
29.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5329
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5709
44.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
5636
43.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16602
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
19493
25.6 IPS |
|
|
Style Transfer (I8)
|
100% |
19276
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3127
111.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3155
112.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3146
112.3 IPS |
|
|
Text Classification (F32)
|
100% |
377
541.4 IPS |
|
|
Text Classification (F16)
|
100% |
381
548.0 IPS |
|
|
Text Classification (I8)
|
96% |
210
301.7 IPS |
|
|
Machine Translation (F32)
|
100% |
481
8.85 IPS |
|
|
Machine Translation (F16)
|
100% |
473
8.70 IPS |
|
|
Machine Translation (I8)
|
99% |
460
8.46 IPS |
