iPhone 15 Pro Max
Geekbench ML Score
3584
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:34 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1571
294.1 IPS |
|
|
Image Classification (F16)
|
100% |
1586
296.8 IPS |
|
|
Image Classification (I8)
|
99% |
1631
305.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1403
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1549
25.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1511
25.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
14842
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15797
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15555
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1449
108.2 IPS |
|
|
Object Detection (F16)
|
100% |
1565
116.9 IPS |
|
|
Object Detection (I8)
|
97% |
1683
125.6 IPS |
|
|
Face Detection (F32)
|
100% |
5852
69.6 IPS |
|
|
Face Detection (F16)
|
98% |
8171
97.2 IPS |
|
|
Face Detection (I8)
|
97% |
8617
102.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12422
96.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13857
107.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
12751
98.9 IPS |
|
|
Style Transfer (F32)
|
100% |
29438
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
31668
41.7 IPS |
|
|
Style Transfer (I8)
|
100% |
31224
41.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6954
248.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6908
246.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6867
245.3 IPS |
|
|
Text Classification (F32)
|
100% |
460
661.8 IPS |
|
|
Text Classification (F16)
|
100% |
491
705.3 IPS |
|
|
Text Classification (I8)
|
96% |
302
434.2 IPS |
|
|
Machine Translation (F32)
|
100% |
736
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
772
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
