iPhone 13
Geekbench ML Score
5942
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 05:17 PM |
| Views | 3 |
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% |
687
128.5 IPS |
|
|
Image Classification (F16)
|
100% |
7075
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7712
1.44 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1146
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2377
39.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2357
39.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9028
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
85313
103.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
86080
104.2 IPS |
|
|
Object Detection (F32)
|
100% |
1056
78.8 IPS |
|
|
Object Detection (F16)
|
100% |
4361
325.6 IPS |
|
|
Object Detection (I8)
|
97% |
1183
88.3 IPS |
|
|
Face Detection (F32)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (F16)
|
97% |
16412
195.1 IPS |
|
|
Face Detection (I8)
|
96% |
16548
196.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5731
44.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43663
338.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
40421
313.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16696
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
104061
136.9 IPS |
|
|
Style Transfer (I8)
|
100% |
102803
135.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3059
109.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25309
903.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
27416
979.1 IPS |
|
|
Text Classification (F32)
|
100% |
2203
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2188
3.14 KIPS |
|
|
Text Classification (I8)
|
96% |
2257
3.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
274
5.03 IPS |
|
|
Machine Translation (F16)
|
100% |
1003
18.5 IPS |
|
|
Machine Translation (I8)
|
99% |
246
4.53 IPS |
