iPhone 13 Pro Max
Geekbench ML Score
1992
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 11 2024 04:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1183
221.3 IPS |
|
|
Image Classification (F16)
|
100% |
1026
191.9 IPS |
|
|
Image Classification (I8)
|
99% |
1026
192.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
507
8.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
468
7.82 IPS |
|
|
Image Segmentation (I8)
|
100% |
464
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
5569
6.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
11308
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11320
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1170
87.4 IPS |
|
|
Object Detection (F16)
|
100% |
1168
87.2 IPS |
|
|
Object Detection (I8)
|
97% |
1168
87.2 IPS |
|
|
Face Detection (F32)
|
100% |
1905
22.7 IPS |
|
|
Face Detection (F16)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (I8)
|
99% |
1695
20.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3773
29.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
4077
31.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
4106
31.8 IPS |
|
|
Style Transfer (F32)
|
100% |
10670
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12741
16.8 IPS |
|
|
Style Transfer (I8)
|
100% |
12734
16.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3261
116.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2708
96.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2742
97.9 IPS |
|
|
Text Classification (F32)
|
100% |
1177
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
778
1.12 KIPS |
|
|
Text Classification (I8)
|
96% |
773
1.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
837
15.4 IPS |
|
|
Machine Translation (F16)
|
99% |
904
16.6 IPS |
|
|
Machine Translation (I8)
|
99% |
782
14.4 IPS |
