iPhone 13 Pro Max
Geekbench ML Score
3150
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 08:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1246
233.1 IPS |
|
|
Image Classification (F16)
|
100% |
1725
322.8 IPS |
|
|
Image Classification (I8)
|
99% |
1755
328.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
715
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
710
11.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
703
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5102
6.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
12879
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12858
15.6 IPS |
|
|
Object Detection (F32)
|
100% |
1264
94.3 IPS |
|
|
Object Detection (F16)
|
100% |
1806
134.8 IPS |
|
|
Object Detection (I8)
|
97% |
1313
98.0 IPS |
|
|
Face Detection (F32)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (F16)
|
97% |
3637
43.2 IPS |
|
|
Face Detection (I8)
|
97% |
3624
43.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4653
36.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7685
59.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
7629
59.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15483
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
24677
32.5 IPS |
|
|
Style Transfer (I8)
|
100% |
24495
32.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3704
132.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5010
178.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5003
178.7 IPS |
|
|
Text Classification (F32)
|
100% |
2238
3.22 KIPS |
|
|
Text Classification (F16)
|
100% |
3600
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3621
5.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1209
22.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1037
19.1 IPS |
