iPhone 15 Pro Max
Geekbench ML Score
4576
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 04:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1632
305.4 IPS |
|
|
Image Classification (F16)
|
100% |
2895
541.7 IPS |
|
|
Image Classification (I8)
|
99% |
2905
543.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
949
15.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1174
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1190
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8004
9.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
16953
20.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
16879
20.4 IPS |
|
|
Object Detection (F32)
|
100% |
1670
124.7 IPS |
|
|
Object Detection (F16)
|
100% |
2783
207.8 IPS |
|
|
Object Detection (I8)
|
97% |
1675
125.0 IPS |
|
|
Face Detection (F32)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (F16)
|
97% |
6378
75.8 IPS |
|
|
Face Detection (I8)
|
97% |
6365
75.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7234
56.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13609
105.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
13639
105.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21565
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
32112
42.2 IPS |
|
|
Style Transfer (I8)
|
100% |
32213
42.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5500
196.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6278
224.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6176
220.6 IPS |
|
|
Text Classification (F32)
|
100% |
2941
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
5075
7.29 KIPS |
|
|
Text Classification (I8)
|
96% |
5082
7.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1730
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1360
25.0 IPS |
