iPhone 15 Pro Max
Geekbench ML Score
6054
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:58 AM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1742
326.0 IPS |
|
|
Image Classification (F16)
|
100% |
6244
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6753
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1379
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1770
29.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1783
29.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
14518
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
81556
98.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
85403
103.4 IPS |
|
|
Object Detection (F32)
|
100% |
1613
120.4 IPS |
|
|
Object Detection (F16)
|
100% |
3836
286.4 IPS |
|
|
Object Detection (I8)
|
97% |
2279
170.2 IPS |
|
|
Face Detection (F32)
|
100% |
6420
76.3 IPS |
|
|
Face Detection (F16)
|
97% |
10508
124.9 IPS |
|
|
Face Detection (I8)
|
96% |
10465
124.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12247
95.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
37432
290.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
39824
308.8 IPS |
|
|
Style Transfer (F32)
|
100% |
28040
36.9 IPS |
|
|
Style Transfer (F16)
|
100% |
121780
160.2 IPS |
|
|
Style Transfer (I8)
|
100% |
121232
159.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6908
246.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17665
630.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18480
660.0 IPS |
|
|
Text Classification (F32)
|
100% |
454
652.6 IPS |
|
|
Text Classification (F16)
|
100% |
490
704.8 IPS |
|
|
Text Classification (I8)
|
96% |
297
426.4 IPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1559
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
687
12.6 IPS |
