iPhone 13 Pro
Geekbench ML Score
392
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 07 2025 03:25 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
548
102.5 IPS |
|
|
Image Classification (F16)
|
100% |
257
48.0 IPS |
|
|
Image Classification (I8)
|
99% |
200
37.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
119
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
124
2.08 IPS |
|
|
Image Segmentation (I8)
|
100% |
132
2.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
709
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
1316
1.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
1290
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
240
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
246
18.4 IPS |
|
|
Face Detection (F32)
|
100% |
451
5.36 IPS |
|
|
Face Detection (F16)
|
100% |
389
4.63 IPS |
|
|
Face Detection (I8)
|
99% |
426
5.06 IPS |
|
|
Depth Estimation (F32)
|
100% |
470
3.65 IPS |
|
|
Depth Estimation (F16)
|
99% |
616
4.77 IPS |
|
|
Depth Estimation (I8)
|
99% |
603
4.67 IPS |
|
|
Style Transfer (F32)
|
100% |
1444
1.90 IPS |
|
|
Style Transfer (F16)
|
100% |
1769
2.33 IPS |
|
|
Style Transfer (I8)
|
100% |
2055
2.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
380
13.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
459
16.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
389
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
288
414.0 IPS |
|
|
Text Classification (F16)
|
100% |
133
190.7 IPS |
|
|
Text Classification (I8)
|
96% |
127
183.0 IPS |
|
|
Machine Translation (F32)
|
100% |
227
4.18 IPS |
|
|
Machine Translation (F16)
|
99% |
386
7.11 IPS |
|
|
Machine Translation (I8)
|
99% |
297
5.46 IPS |
