iPhone 12 Pro Max
Geekbench ML Score
1285
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 01:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
319
59.7 IPS |
|
|
Image Classification (F16)
|
100% |
320
59.8 IPS |
|
|
Image Classification (I8)
|
99% |
286
53.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
547
9.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
9.21 IPS |
|
|
Image Segmentation (I8)
|
100% |
560
9.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
5696
6.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
6108
7.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
6003
7.27 IPS |
|
|
Object Detection (F32)
|
100% |
527
39.3 IPS |
|
|
Object Detection (F16)
|
100% |
547
40.8 IPS |
|
|
Object Detection (I8)
|
97% |
510
38.1 IPS |
|
|
Face Detection (F32)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
2796
33.2 IPS |
|
|
Face Detection (I8)
|
96% |
2928
34.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5262
40.8 IPS |
|
|
Depth Estimation (F16)
|
93% |
5399
41.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
5219
40.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11261
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11678
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
13632
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1632
58.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1709
61.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1483
53.0 IPS |
|
|
Text Classification (F32)
|
100% |
270
387.5 IPS |
|
|
Text Classification (F16)
|
100% |
268
384.9 IPS |
|
|
Text Classification (I8)
|
96% |
164
235.4 IPS |
|
|
Machine Translation (F32)
|
100% |
343
6.31 IPS |
|
|
Machine Translation (F16)
|
100% |
350
6.44 IPS |
|
|
Machine Translation (I8)
|
99% |
326
6.01 IPS |
