iPhone 13
Geekbench ML Score
3763
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 08:47 PM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1351
252.9 IPS |
|
|
Image Classification (F16)
|
100% |
2334
436.8 IPS |
|
|
Image Classification (I8)
|
99% |
2326
435.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
912
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1218
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1214
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6158
7.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
13831
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13788
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1361
101.6 IPS |
|
|
Object Detection (F16)
|
100% |
2269
169.4 IPS |
|
|
Object Detection (I8)
|
97% |
1363
101.8 IPS |
|
|
Face Detection (F32)
|
100% |
2747
32.7 IPS |
|
|
Face Detection (F16)
|
97% |
5481
65.2 IPS |
|
|
Face Detection (I8)
|
97% |
5460
64.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5499
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11194
86.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11185
86.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17377
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26336
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26335
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4071
145.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4898
174.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4903
175.1 IPS |
|
|
Text Classification (F32)
|
100% |
2194
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3670
5.27 KIPS |
|
|
Text Classification (I8)
|
96% |
3654
5.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1202
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1148
21.1 IPS |
