iPhone 15 Pro Max
Geekbench ML Score
5913
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 09:50 AM |
| Views | 1 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1224
229.0 IPS |
|
|
Image Classification (F16)
|
100% |
6303
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6820
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1344
22.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1709
28.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1735
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14828
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
82949
100.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
83583
101.2 IPS |
|
|
Object Detection (F32)
|
100% |
1492
111.4 IPS |
|
|
Object Detection (F16)
|
100% |
3842
286.8 IPS |
|
|
Object Detection (I8)
|
97% |
1542
115.1 IPS |
|
|
Face Detection (F32)
|
100% |
6069
72.2 IPS |
|
|
Face Detection (F16)
|
97% |
10540
125.3 IPS |
|
|
Face Detection (I8)
|
96% |
10561
125.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12424
96.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
37469
290.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
43648
338.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29633
39.0 IPS |
|
|
Style Transfer (F16)
|
100% |
122020
160.5 IPS |
|
|
Style Transfer (I8)
|
100% |
121600
160.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7025
250.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17968
641.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17692
631.8 IPS |
|
|
Text Classification (F32)
|
100% |
476
684.8 IPS |
|
|
Text Classification (F16)
|
100% |
496
713.2 IPS |
|
|
Text Classification (I8)
|
96% |
304
436.6 IPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1555
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
676
12.4 IPS |
