iPhone 13 Pro
Geekbench ML Score
3031
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 26 2024 06:40 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1278
239.2 IPS |
|
|
Image Classification (F16)
|
100% |
1588
297.2 IPS |
|
|
Image Classification (I8)
|
99% |
1593
298.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
720
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
713
11.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
714
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5310
6.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
12077
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12088
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1246
93.0 IPS |
|
|
Object Detection (F16)
|
100% |
1669
124.6 IPS |
|
|
Object Detection (I8)
|
97% |
1243
92.8 IPS |
|
|
Face Detection (F32)
|
100% |
2267
27.0 IPS |
|
|
Face Detection (F16)
|
97% |
3647
43.4 IPS |
|
|
Face Detection (I8)
|
97% |
3641
43.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4643
36.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7358
57.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7361
57.1 IPS |
|
|
Style Transfer (F32)
|
100% |
14657
19.3 IPS |
|
|
Style Transfer (F16)
|
100% |
22877
30.1 IPS |
|
|
Style Transfer (I8)
|
100% |
22540
29.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3401
121.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4329
154.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4347
155.2 IPS |
|
|
Text Classification (F32)
|
100% |
2091
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3275
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3264
4.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1314
24.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
