iPhone 13 Pro Max
Geekbench ML Score
2027
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 11:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1190
222.6 IPS |
|
|
Image Classification (F16)
|
100% |
1028
192.4 IPS |
|
|
Image Classification (I8)
|
99% |
1030
192.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
521
8.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
479
7.99 IPS |
|
|
Image Segmentation (I8)
|
100% |
478
7.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
5751
6.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
11310
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11305
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1176
87.8 IPS |
|
|
Object Detection (F16)
|
100% |
1178
87.9 IPS |
|
|
Object Detection (I8)
|
97% |
1181
88.2 IPS |
|
|
Face Detection (F32)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (F16)
|
100% |
1754
20.9 IPS |
|
|
Face Detection (I8)
|
99% |
1753
20.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3815
29.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
4147
32.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4142
32.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10746
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12896
17.0 IPS |
|
|
Style Transfer (I8)
|
100% |
12919
17.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3241
115.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2712
96.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2776
99.1 IPS |
|
|
Text Classification (F32)
|
100% |
1187
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
775
1.11 KIPS |
|
|
Text Classification (I8)
|
96% |
778
1.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (F16)
|
99% |
982
18.1 IPS |
|
|
Machine Translation (I8)
|
99% |
861
15.8 IPS |
