iPhone 13
Geekbench ML Score
2151
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 04:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
714
133.7 IPS |
|
|
Image Classification (F16)
|
100% |
822
153.8 IPS |
|
|
Image Classification (I8)
|
99% |
740
138.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1184
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8324
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
9359
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9147
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
728
54.3 IPS |
|
|
Object Detection (F16)
|
100% |
971
72.5 IPS |
|
|
Object Detection (I8)
|
97% |
1493
111.4 IPS |
|
|
Face Detection (F32)
|
100% |
3688
43.9 IPS |
|
|
Face Detection (F16)
|
98% |
4369
51.9 IPS |
|
|
Face Detection (I8)
|
97% |
4586
54.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7585
58.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5843
45.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
6081
47.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16682
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
19523
25.7 IPS |
|
|
Style Transfer (I8)
|
100% |
19341
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3053
109.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3212
114.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3140
112.1 IPS |
|
|
Text Classification (F32)
|
100% |
575
827.0 IPS |
|
|
Text Classification (F16)
|
100% |
358
514.6 IPS |
|
|
Text Classification (I8)
|
96% |
210
301.3 IPS |
|
|
Machine Translation (F32)
|
100% |
479
8.81 IPS |
|
|
Machine Translation (F16)
|
100% |
528
9.71 IPS |
|
|
Machine Translation (I8)
|
99% |
469
8.62 IPS |
