iPhone 12 Pro Max
Geekbench ML Score
2546
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 01:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1152
215.6 IPS |
|
|
Image Classification (F16)
|
100% |
1459
273.0 IPS |
|
|
Image Classification (I8)
|
99% |
1457
272.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
489
8.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
495
8.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
489
8.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
4619
5.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
9940
12.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
10047
12.2 IPS |
|
|
Object Detection (F32)
|
100% |
1127
84.2 IPS |
|
|
Object Detection (F16)
|
100% |
1539
114.9 IPS |
|
|
Object Detection (I8)
|
97% |
1121
83.7 IPS |
|
|
Face Detection (F32)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (F16)
|
97% |
3435
40.8 IPS |
|
|
Face Detection (I8)
|
97% |
3387
40.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4386
34.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7113
55.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
7113
55.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12407
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
20907
27.5 IPS |
|
|
Style Transfer (I8)
|
100% |
20963
27.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2908
103.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4100
146.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4110
146.8 IPS |
|
|
Text Classification (F32)
|
100% |
1899
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
2713
3.90 KIPS |
|
|
Text Classification (I8)
|
96% |
2701
3.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
640
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
770
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |
