iPhone 13
Geekbench ML Score
6146
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
811
151.8 IPS |
|
|
Image Classification (F16)
|
100% |
6848
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
8195
1.53 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1135
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2102
35.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2113
35.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9010
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
84774
102.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
86296
104.5 IPS |
|
|
Object Detection (F32)
|
100% |
1050
78.4 IPS |
|
|
Object Detection (F16)
|
100% |
4830
360.6 IPS |
|
|
Object Detection (I8)
|
97% |
1385
103.4 IPS |
|
|
Face Detection (F32)
|
100% |
3673
43.7 IPS |
|
|
Face Detection (F16)
|
97% |
17118
203.5 IPS |
|
|
Face Detection (I8)
|
96% |
16920
201.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6053
46.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
45027
349.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
46543
360.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16721
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
99356
130.7 IPS |
|
|
Style Transfer (I8)
|
100% |
103140
135.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3056
109.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26665
952.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
25285
903.0 IPS |
|
|
Text Classification (F32)
|
100% |
2188
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
2444
3.51 KIPS |
|
|
Text Classification (I8)
|
96% |
2532
3.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
282
5.18 IPS |
|
|
Machine Translation (F16)
|
100% |
931
17.1 IPS |
|
|
Machine Translation (I8)
|
99% |
254
4.67 IPS |
