iPhone 13
Geekbench ML Score
6045
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 07:00 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
663
124.0 IPS |
|
|
Image Classification (F16)
|
100% |
6747
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
8460
1.58 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1141
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2364
39.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2365
39.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8755
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
80861
97.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
85013
102.9 IPS |
|
|
Object Detection (F32)
|
100% |
1080
80.6 IPS |
|
|
Object Detection (F16)
|
100% |
4215
314.7 IPS |
|
|
Object Detection (I8)
|
97% |
1068
79.8 IPS |
|
|
Face Detection (F32)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (F16)
|
97% |
16458
195.7 IPS |
|
|
Face Detection (I8)
|
96% |
16726
198.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7591
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
41046
318.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
40523
314.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15897
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
104882
138.0 IPS |
|
|
Style Transfer (I8)
|
100% |
113249
149.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3073
109.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26011
928.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
27127
968.8 IPS |
|
|
Text Classification (F32)
|
100% |
2198
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
2279
3.28 KIPS |
|
|
Text Classification (I8)
|
96% |
2080
2.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
275
5.06 IPS |
|
|
Machine Translation (F16)
|
100% |
1017
18.7 IPS |
|
|
Machine Translation (I8)
|
99% |
244
4.48 IPS |
