iPhone 12 Pro Max
Geekbench ML Score
1289
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
316
59.1 IPS |
|
|
Image Classification (F16)
|
100% |
315
59.0 IPS |
|
|
Image Classification (I8)
|
99% |
292
54.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
535
8.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
547
9.13 IPS |
|
|
Image Segmentation (I8)
|
100% |
568
9.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
5804
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
6092
7.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
5997
7.26 IPS |
|
|
Object Detection (F32)
|
100% |
517
38.6 IPS |
|
|
Object Detection (F16)
|
100% |
529
39.5 IPS |
|
|
Object Detection (I8)
|
97% |
602
44.9 IPS |
|
|
Face Detection (F32)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (F16)
|
98% |
2871
34.1 IPS |
|
|
Face Detection (I8)
|
97% |
3045
36.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5267
40.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5646
43.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
5367
41.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10950
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11704
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
12491
16.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1647
58.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1720
61.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1862
66.5 IPS |
|
|
Text Classification (F32)
|
100% |
254
364.3 IPS |
|
|
Text Classification (F16)
|
100% |
247
355.6 IPS |
|
|
Text Classification (I8)
|
96% |
163
234.7 IPS |
|
|
Machine Translation (F32)
|
100% |
326
5.99 IPS |
|
|
Machine Translation (F16)
|
100% |
345
6.36 IPS |
|
|
Machine Translation (I8)
|
99% |
334
6.14 IPS |
