iPhone 15 Pro Max
Geekbench ML Score
4018
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1683
314.9 IPS |
|
|
Image Classification (F16)
|
100% |
2172
406.4 IPS |
|
|
Image Classification (I8)
|
99% |
2178
407.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
922
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
871
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
869
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6887
8.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
15730
19.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
15595
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1648
123.1 IPS |
|
|
Object Detection (F16)
|
100% |
2296
171.4 IPS |
|
|
Object Detection (I8)
|
97% |
1647
123.0 IPS |
|
|
Face Detection (F32)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
4671
55.5 IPS |
|
|
Face Detection (I8)
|
97% |
4669
55.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6301
48.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9642
74.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9586
74.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20236
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30462
40.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30241
39.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5117
182.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6241
222.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6136
219.1 IPS |
|
|
Text Classification (F32)
|
100% |
2937
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4812
6.92 KIPS |
|
|
Text Classification (I8)
|
96% |
4811
6.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1555
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1266
23.3 IPS |
