iPhone 15 Pro Max
Geekbench ML Score
5979
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 08:59 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% |
1606
300.6 IPS |
|
|
Image Classification (F16)
|
100% |
6188
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6759
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1400
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1787
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1830
30.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14630
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
84315
102.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
83380
101.0 IPS |
|
|
Object Detection (F32)
|
100% |
1532
114.4 IPS |
|
|
Object Detection (F16)
|
100% |
4113
307.1 IPS |
|
|
Object Detection (I8)
|
97% |
1787
133.4 IPS |
|
|
Face Detection (F32)
|
100% |
6454
76.7 IPS |
|
|
Face Detection (F16)
|
97% |
10475
124.6 IPS |
|
|
Face Detection (I8)
|
96% |
10444
124.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12202
94.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
37885
293.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
40034
310.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28058
36.9 IPS |
|
|
Style Transfer (F16)
|
100% |
119794
157.6 IPS |
|
|
Style Transfer (I8)
|
100% |
114608
150.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7001
250.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17504
625.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18268
652.4 IPS |
|
|
Text Classification (F32)
|
100% |
447
642.8 IPS |
|
|
Text Classification (F16)
|
100% |
482
692.1 IPS |
|
|
Text Classification (I8)
|
96% |
297
426.5 IPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1538
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
