iPhone 15 Pro Max
Geekbench ML Score
2546
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 23 2024 08:54 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1450
271.4 IPS |
|
|
Image Classification (F16)
|
100% |
1249
233.7 IPS |
|
|
Image Classification (I8)
|
99% |
1255
234.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
649
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
585
9.77 IPS |
|
|
Image Segmentation (I8)
|
100% |
585
9.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
7861
9.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
14019
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14029
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1475
110.1 IPS |
|
|
Object Detection (F16)
|
100% |
1406
105.0 IPS |
|
|
Object Detection (I8)
|
97% |
1478
110.4 IPS |
|
|
Face Detection (F32)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (F16)
|
100% |
2119
25.2 IPS |
|
|
Face Detection (I8)
|
99% |
2112
25.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4963
38.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
5037
39.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
5070
39.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13054
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
15284
20.1 IPS |
|
|
Style Transfer (I8)
|
100% |
15330
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4520
161.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3667
131.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3673
131.2 IPS |
|
|
Text Classification (F32)
|
100% |
1684
2.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1063
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
1063
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1144
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1059
19.5 IPS |
