iPhone 14 Pro Max
Geekbench ML Score
2747
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 10 2024 12:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1230
230.2 IPS |
|
|
Image Classification (F16)
|
100% |
1204
225.4 IPS |
|
|
Image Classification (I8)
|
99% |
1544
289.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1161
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1215
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1206
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11407
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12170
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12007
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1551
115.8 IPS |
|
|
Object Detection (F16)
|
100% |
1430
106.7 IPS |
|
|
Object Detection (I8)
|
97% |
1655
123.6 IPS |
|
|
Face Detection (F32)
|
100% |
5023
59.7 IPS |
|
|
Face Detection (F16)
|
98% |
5338
63.5 IPS |
|
|
Face Detection (I8)
|
97% |
5425
64.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8652
67.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9124
70.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
8538
66.2 IPS |
|
|
Style Transfer (F32)
|
100% |
21081
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
23632
31.1 IPS |
|
|
Style Transfer (I8)
|
100% |
23366
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4324
154.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4411
157.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4325
154.5 IPS |
|
|
Text Classification (F32)
|
100% |
367
527.8 IPS |
|
|
Text Classification (F16)
|
100% |
354
509.4 IPS |
|
|
Text Classification (I8)
|
96% |
236
339.1 IPS |
|
|
Machine Translation (F32)
|
100% |
585
10.8 IPS |
|
|
Machine Translation (F16)
|
100% |
630
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
584
10.7 IPS |
