iPhone 13 Pro Max
Geekbench ML Score
3312
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 01:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1215
227.3 IPS |
|
|
Image Classification (F16)
|
100% |
1195
223.7 IPS |
|
|
Image Classification (I8)
|
99% |
1412
264.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1170
19.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1231
20.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1223
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10417
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12103
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11878
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1377
102.8 IPS |
|
|
Object Detection (F16)
|
100% |
1400
104.5 IPS |
|
|
Object Detection (I8)
|
97% |
1308
97.6 IPS |
|
|
Face Detection (F32)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (F16)
|
98% |
5696
67.7 IPS |
|
|
Face Detection (I8)
|
97% |
5709
67.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8684
67.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9360
72.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8586
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17413
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
23222
30.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23180
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4129
147.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4019
143.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4225
150.9 IPS |
|
|
Text Classification (F32)
|
100% |
2238
3.22 KIPS |
|
|
Text Classification (F16)
|
100% |
3785
5.44 KIPS |
|
|
Text Classification (I8)
|
96% |
3814
5.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
550
10.1 IPS |
|
|
Machine Translation (F16)
|
100% |
533
9.80 IPS |
|
|
Machine Translation (I8)
|
99% |
543
9.99 IPS |
