iPhone 15 Pro Max
Geekbench ML Score
3599
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 02:07 AM |
| Views | 2 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1255
234.8 IPS |
|
|
Image Classification (F16)
|
100% |
1576
295.0 IPS |
|
|
Image Classification (I8)
|
99% |
1659
310.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1586
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1561
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14839
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15785
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15640
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
1508
112.6 IPS |
|
|
Object Detection (I8)
|
97% |
1703
127.1 IPS |
|
|
Face Detection (F32)
|
100% |
6181
73.5 IPS |
|
|
Face Detection (F16)
|
98% |
8242
98.0 IPS |
|
|
Face Detection (I8)
|
97% |
8480
100.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12450
96.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13857
107.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
12714
98.6 IPS |
|
|
Style Transfer (F32)
|
100% |
29673
39.0 IPS |
|
|
Style Transfer (F16)
|
100% |
30983
40.8 IPS |
|
|
Style Transfer (I8)
|
100% |
34794
45.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6881
245.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6804
243.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7506
268.1 IPS |
|
|
Text Classification (F32)
|
100% |
455
653.7 IPS |
|
|
Text Classification (F16)
|
100% |
487
700.3 IPS |
|
|
Text Classification (I8)
|
96% |
305
437.8 IPS |
|
|
Machine Translation (F32)
|
100% |
744
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
816
15.0 IPS |
|
|
Machine Translation (I8)
|
99% |
700
12.9 IPS |
