iPhone 15 Pro Max
Geekbench ML Score
4035
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 26 2024 11:27 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1688
315.9 IPS |
|
|
Image Classification (F16)
|
100% |
2158
403.8 IPS |
|
|
Image Classification (I8)
|
99% |
2169
405.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
861
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
853
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
7499
9.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
16200
19.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15953
19.3 IPS |
|
|
Object Detection (F32)
|
100% |
1660
123.9 IPS |
|
|
Object Detection (F16)
|
100% |
2263
169.0 IPS |
|
|
Object Detection (I8)
|
97% |
1645
122.8 IPS |
|
|
Face Detection (F32)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
4573
54.4 IPS |
|
|
Face Detection (I8)
|
97% |
4630
55.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6207
48.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9392
72.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9389
72.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20083
26.4 IPS |
|
|
Style Transfer (F16)
|
100% |
31003
40.8 IPS |
|
|
Style Transfer (I8)
|
100% |
30841
40.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5131
183.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6423
229.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6440
230.0 IPS |
|
|
Text Classification (F32)
|
100% |
2948
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
4891
7.03 KIPS |
|
|
Text Classification (I8)
|
96% |
4905
7.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1343
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1277
23.5 IPS |
