iPhone 13 Pro Max
Geekbench ML Score
3709
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 23 2024 12:41 AM |
| Views | 2 |
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% |
1337
250.2 IPS |
|
|
Image Classification (F16)
|
100% |
2311
432.4 IPS |
|
|
Image Classification (I8)
|
99% |
2317
433.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
810
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1069
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6225
7.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
13823
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13837
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1343
100.3 IPS |
|
|
Object Detection (F16)
|
100% |
2270
169.5 IPS |
|
|
Object Detection (I8)
|
97% |
1352
101.0 IPS |
|
|
Face Detection (F32)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (F16)
|
97% |
5451
64.8 IPS |
|
|
Face Detection (I8)
|
97% |
5443
64.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5523
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11106
86.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11032
85.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17455
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26258
34.5 IPS |
|
|
Style Transfer (I8)
|
100% |
26477
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4151
148.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4856
173.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4917
175.6 IPS |
|
|
Text Classification (F32)
|
100% |
2149
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3649
5.24 KIPS |
|
|
Text Classification (I8)
|
96% |
3633
5.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1207
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1388
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1171
21.5 IPS |
