iPhone 13
Geekbench ML Score
3782
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 06:36 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1348
252.2 IPS |
|
|
Image Classification (F16)
|
100% |
2316
433.5 IPS |
|
|
Image Classification (I8)
|
99% |
2334
436.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
916
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1218
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1217
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6114
7.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
14042
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13919
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1374
102.5 IPS |
|
|
Object Detection (F16)
|
100% |
2281
170.3 IPS |
|
|
Object Detection (I8)
|
97% |
1378
102.8 IPS |
|
|
Face Detection (F32)
|
100% |
2781
33.1 IPS |
|
|
Face Detection (F16)
|
97% |
5526
65.7 IPS |
|
|
Face Detection (I8)
|
97% |
5514
65.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5507
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11216
87.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11289
87.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17496
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26540
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26387
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4132
147.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4926
175.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4915
175.5 IPS |
|
|
Text Classification (F32)
|
100% |
2165
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3671
5.28 KIPS |
|
|
Text Classification (I8)
|
96% |
3659
5.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1229
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1393
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1166
21.5 IPS |
