iPhone 13 Pro Max
Geekbench ML Score
3741
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:07 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1341
250.9 IPS |
|
|
Image Classification (F16)
|
100% |
2339
437.8 IPS |
|
|
Image Classification (I8)
|
99% |
2313
432.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
820
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1068
17.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1067
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6455
7.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
13833
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13797
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1340
100.1 IPS |
|
|
Object Detection (F16)
|
100% |
2273
169.7 IPS |
|
|
Object Detection (I8)
|
97% |
1349
100.7 IPS |
|
|
Face Detection (F32)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (F16)
|
97% |
5464
65.0 IPS |
|
|
Face Detection (I8)
|
97% |
5467
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5450
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10980
85.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10976
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17403
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26467
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27012
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4109
146.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4896
174.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4863
173.7 IPS |
|
|
Text Classification (F32)
|
100% |
2211
3.18 KIPS |
|
|
Text Classification (F16)
|
100% |
3735
5.37 KIPS |
|
|
Text Classification (I8)
|
96% |
3729
5.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1248
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1252
23.0 IPS |
