iPhone 13
Geekbench ML Score
2609
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 06:53 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% |
660
123.5 IPS |
|
|
Image Classification (F16)
|
100% |
747
139.9 IPS |
|
|
Image Classification (I8)
|
99% |
664
124.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1168
19.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1165
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1142
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8698
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9393
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9426
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1062
79.3 IPS |
|
|
Object Detection (F16)
|
100% |
1576
117.7 IPS |
|
|
Object Detection (I8)
|
97% |
1589
118.6 IPS |
|
|
Face Detection (F32)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (F16)
|
98% |
4663
55.4 IPS |
|
|
Face Detection (I8)
|
97% |
4707
56.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
7548
58.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8034
62.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
7768
60.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15891
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
18886
24.8 IPS |
|
|
Style Transfer (I8)
|
100% |
18739
24.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3067
109.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3080
110.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3037
108.5 IPS |
|
|
Text Classification (F32)
|
100% |
2194
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3670
5.27 KIPS |
|
|
Text Classification (I8)
|
96% |
3678
5.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
281
5.18 IPS |
|
|
Machine Translation (F16)
|
100% |
272
5.01 IPS |
|
|
Machine Translation (I8)
|
99% |
242
4.45 IPS |
