iPhone 13
Geekbench ML Score
4710
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 23 2025 03:55 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
606
113.4 IPS |
|
|
Image Classification (F16)
|
100% |
4708
881.1 IPS |
|
|
Image Classification (I8)
|
99% |
5036
942.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
455
7.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
3292
55.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3008
50.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8959
10.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
72396
87.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
76412
92.5 IPS |
|
|
Object Detection (F32)
|
100% |
1030
76.9 IPS |
|
|
Object Detection (F16)
|
100% |
4291
320.4 IPS |
|
|
Object Detection (I8)
|
97% |
1095
81.8 IPS |
|
|
Face Detection (F32)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (F16)
|
97% |
6845
81.4 IPS |
|
|
Face Detection (I8)
|
96% |
6897
82.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6854
53.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
30800
238.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
30385
235.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16189
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
85621
112.6 IPS |
|
|
Style Transfer (I8)
|
100% |
89904
118.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3149
112.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12181
435.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
12201
435.7 IPS |
|
|
Text Classification (F32)
|
100% |
395
567.5 IPS |
|
|
Text Classification (F16)
|
100% |
799
1.15 KIPS |
|
|
Text Classification (I8)
|
96% |
823
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
718
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1123
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
634
11.7 IPS |
