iPhone 14 Pro Max
Geekbench ML Score
2782
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1236
231.2 IPS |
|
|
Image Classification (F16)
|
100% |
1150
215.2 IPS |
|
|
Image Classification (I8)
|
99% |
1269
237.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1121
18.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1165
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
11410
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12271
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12081
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (F16)
|
100% |
1428
106.6 IPS |
|
|
Object Detection (I8)
|
97% |
1443
107.7 IPS |
|
|
Face Detection (F32)
|
100% |
5107
60.7 IPS |
|
|
Face Detection (F16)
|
98% |
5601
66.6 IPS |
|
|
Face Detection (I8)
|
97% |
5396
64.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8822
68.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9410
73.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
8662
67.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20955
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
23774
31.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23515
30.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4468
159.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4640
165.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4762
170.1 IPS |
|
|
Text Classification (F32)
|
100% |
575
825.8 IPS |
|
|
Text Classification (F16)
|
100% |
373
536.4 IPS |
|
|
Text Classification (I8)
|
96% |
241
346.6 IPS |
|
|
Machine Translation (F32)
|
100% |
596
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
637
11.7 IPS |
|
|
Machine Translation (I8)
|
99% |
590
10.9 IPS |
