iPhone 15 Pro Max
Geekbench ML Score
4506
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 06 2024 10:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1777
332.5 IPS |
|
|
Image Classification (F16)
|
100% |
1501
280.9 IPS |
|
|
Image Classification (I8)
|
99% |
2071
387.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1391
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1523
25.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1549
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14752
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
15719
19.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
15413
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
1466
109.5 IPS |
|
|
Object Detection (F16)
|
100% |
1721
128.5 IPS |
|
|
Object Detection (I8)
|
97% |
1603
119.6 IPS |
|
|
Face Detection (F32)
|
100% |
6125
72.8 IPS |
|
|
Face Detection (F16)
|
98% |
8636
102.7 IPS |
|
|
Face Detection (I8)
|
97% |
8870
105.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12289
95.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13822
107.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
12731
98.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29151
38.3 IPS |
|
|
Style Transfer (F16)
|
100% |
34331
45.2 IPS |
|
|
Style Transfer (I8)
|
100% |
35542
46.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7185
256.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4653
166.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6239
222.8 IPS |
|
|
Text Classification (F32)
|
100% |
2977
4.28 KIPS |
|
|
Text Classification (F16)
|
100% |
5239
7.53 KIPS |
|
|
Text Classification (I8)
|
96% |
5219
7.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
643
11.8 IPS |
|
|
Machine Translation (I8)
|
99% |
634
11.7 IPS |
