iPhone 15 Pro Max
Geekbench ML Score
3063
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 02:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1223
228.9 IPS |
|
|
Image Classification (F16)
|
100% |
1108
207.3 IPS |
|
|
Image Classification (I8)
|
99% |
731
136.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1307
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1493
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14819
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
15831
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15564
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1432
106.9 IPS |
|
|
Object Detection (F16)
|
100% |
1518
113.3 IPS |
|
|
Object Detection (I8)
|
97% |
1362
101.7 IPS |
|
|
Face Detection (F32)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (F16)
|
98% |
4871
57.9 IPS |
|
|
Face Detection (I8)
|
97% |
6013
71.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
11642
90.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13231
102.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
12461
96.6 IPS |
|
|
Style Transfer (F32)
|
100% |
29698
39.1 IPS |
|
|
Style Transfer (F16)
|
100% |
36697
48.3 IPS |
|
|
Style Transfer (I8)
|
100% |
36371
47.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4036
144.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4102
146.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4217
150.6 IPS |
|
|
Text Classification (F32)
|
100% |
459
659.1 IPS |
|
|
Text Classification (F16)
|
100% |
495
711.2 IPS |
|
|
Text Classification (I8)
|
96% |
302
434.4 IPS |
|
|
Machine Translation (F32)
|
100% |
669
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
676
12.4 IPS |
|
|
Machine Translation (I8)
|
99% |
586
10.8 IPS |
