iPhone 13 Pro Max
Geekbench ML Score
3275
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 03 2024 05:17 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1397
261.4 IPS |
|
|
Image Classification (F16)
|
100% |
1765
330.2 IPS |
|
|
Image Classification (I8)
|
99% |
1760
329.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
772
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
771
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
769
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5603
6.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
12379
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13357
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1364
101.8 IPS |
|
|
Object Detection (F16)
|
100% |
1869
139.5 IPS |
|
|
Object Detection (I8)
|
97% |
1372
102.4 IPS |
|
|
Face Detection (F32)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (F16)
|
97% |
3906
46.4 IPS |
|
|
Face Detection (I8)
|
97% |
3892
46.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4927
38.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8125
63.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8103
62.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16293
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25506
33.6 IPS |
|
|
Style Transfer (I8)
|
100% |
25409
33.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3821
136.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5089
181.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5099
182.1 IPS |
|
|
Text Classification (F32)
|
100% |
2222
3.19 KIPS |
|
|
Text Classification (F16)
|
100% |
3149
4.53 KIPS |
|
|
Text Classification (I8)
|
96% |
3147
4.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1153
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1341
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1102
20.3 IPS |
