iPhone 15 Pro Max
Geekbench ML Score
4492
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 01:45 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1541
288.4 IPS |
|
|
Image Classification (F16)
|
100% |
2881
539.1 IPS |
|
|
Image Classification (I8)
|
99% |
2942
550.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
972
16.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1213
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1277
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7514
9.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
16969
20.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
16616
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1559
116.4 IPS |
|
|
Object Detection (F16)
|
100% |
2709
202.3 IPS |
|
|
Object Detection (I8)
|
97% |
1567
117.0 IPS |
|
|
Face Detection (F32)
|
100% |
2966
35.3 IPS |
|
|
Face Detection (F16)
|
97% |
6321
75.2 IPS |
|
|
Face Detection (I8)
|
96% |
6320
75.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6702
52.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12663
98.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
12620
97.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21250
28.0 IPS |
|
|
Style Transfer (F16)
|
100% |
33286
43.8 IPS |
|
|
Style Transfer (I8)
|
100% |
33343
43.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5054
180.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6319
225.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6334
226.2 IPS |
|
|
Text Classification (F32)
|
100% |
2972
4.27 KIPS |
|
|
Text Classification (F16)
|
100% |
5074
7.29 KIPS |
|
|
Text Classification (I8)
|
96% |
5056
7.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
1328
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1691
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1315
24.2 IPS |
