iPhone 13
Geekbench ML Score
2586
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 06:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
792
148.2 IPS |
|
|
Image Classification (F16)
|
100% |
680
127.3 IPS |
|
|
Image Classification (I8)
|
99% |
768
143.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1154
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1164
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8757
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
9500
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
9473
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1092
81.5 IPS |
|
|
Object Detection (F16)
|
100% |
1070
79.9 IPS |
|
|
Object Detection (I8)
|
97% |
1180
88.1 IPS |
|
|
Face Detection (F32)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (F16)
|
98% |
4734
56.3 IPS |
|
|
Face Detection (I8)
|
97% |
4766
56.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7563
58.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8015
62.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
7838
60.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15925
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
18817
24.8 IPS |
|
|
Style Transfer (I8)
|
100% |
18381
24.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3012
107.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3118
111.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3133
111.9 IPS |
|
|
Text Classification (F32)
|
100% |
2191
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3712
5.34 KIPS |
|
|
Text Classification (I8)
|
96% |
3677
5.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
276
5.09 IPS |
|
|
Machine Translation (F16)
|
100% |
275
5.07 IPS |
|
|
Machine Translation (I8)
|
99% |
248
4.56 IPS |
