iPhone 15 Pro Max
Geekbench ML Score
5892
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 06:04 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1357
253.9 IPS |
|
|
Image Classification (F16)
|
100% |
6296
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6763
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1368
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1743
29.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1681
28.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14716
17.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
83915
101.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
85711
103.8 IPS |
|
|
Object Detection (F32)
|
100% |
1468
109.6 IPS |
|
|
Object Detection (F16)
|
100% |
3945
294.5 IPS |
|
|
Object Detection (I8)
|
97% |
1543
115.2 IPS |
|
|
Face Detection (F32)
|
100% |
5852
69.6 IPS |
|
|
Face Detection (F16)
|
97% |
10617
126.2 IPS |
|
|
Face Detection (I8)
|
96% |
10457
124.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12335
95.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
38670
299.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
39452
306.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29754
39.1 IPS |
|
|
Style Transfer (F16)
|
100% |
119875
157.7 IPS |
|
|
Style Transfer (I8)
|
100% |
122470
161.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6617
236.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16705
596.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18462
659.4 IPS |
|
|
Text Classification (F32)
|
100% |
464
666.7 IPS |
|
|
Text Classification (F16)
|
100% |
501
720.7 IPS |
|
|
Text Classification (I8)
|
96% |
304
437.6 IPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1498
27.6 IPS |
|
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |
