iPhone 14 Pro Max
Geekbench ML Score
2770
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 08 2024 04:45 AM |
| 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% |
1246
233.2 IPS |
|
|
Image Classification (F16)
|
100% |
1205
225.4 IPS |
|
|
Image Classification (I8)
|
99% |
1508
282.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1179
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1218
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1211
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11328
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
12142
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11994
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1344
100.3 IPS |
|
|
Object Detection (F16)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (I8)
|
97% |
1425
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (F16)
|
98% |
5456
64.9 IPS |
|
|
Face Detection (I8)
|
97% |
4996
59.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8697
67.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9183
71.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
8907
69.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20922
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
23010
30.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23403
30.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4247
151.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5051
180.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4298
153.5 IPS |
|
|
Text Classification (F32)
|
100% |
355
510.3 IPS |
|
|
Text Classification (F16)
|
100% |
355
510.6 IPS |
|
|
Text Classification (I8)
|
96% |
412
591.8 IPS |
|
|
Machine Translation (F32)
|
100% |
590
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
627
11.5 IPS |
|
|
Machine Translation (I8)
|
99% |
592
10.9 IPS |
