iPhone 15 Pro Max
Geekbench ML Score
6124
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:15 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1680
314.4 IPS |
|
|
Image Classification (F16)
|
100% |
6182
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6960
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1399
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1781
29.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1762
29.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14595
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
83382
101.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
82394
99.8 IPS |
|
|
Object Detection (F32)
|
100% |
2411
180.0 IPS |
|
|
Object Detection (F16)
|
100% |
4067
303.6 IPS |
|
|
Object Detection (I8)
|
97% |
1481
110.6 IPS |
|
|
Face Detection (F32)
|
100% |
6336
75.3 IPS |
|
|
Face Detection (F16)
|
97% |
10585
125.9 IPS |
|
|
Face Detection (I8)
|
96% |
10674
126.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12153
94.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
37438
290.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
49242
381.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27856
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
117406
154.4 IPS |
|
|
Style Transfer (I8)
|
100% |
121458
159.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6865
245.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16091
574.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18106
646.6 IPS |
|
|
Text Classification (F32)
|
100% |
453
650.4 IPS |
|
|
Text Classification (F16)
|
100% |
654
939.7 IPS |
|
|
Text Classification (I8)
|
96% |
301
432.0 IPS |
|
|
Machine Translation (F32)
|
100% |
745
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1518
27.9 IPS |
|
|
Machine Translation (I8)
|
99% |
689
12.7 IPS |
