iPhone 15 Pro Max
Geekbench ML Score
5970
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2024 05:11 PM |
| 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% |
1574
294.6 IPS |
|
|
Image Classification (F16)
|
100% |
6354
1.19 KIPS |
|
|
Image Classification (I8)
|
99% |
6837
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1348
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1738
29.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1708
28.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14793
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
83307
100.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
86029
104.2 IPS |
|
|
Object Detection (F32)
|
100% |
1534
114.5 IPS |
|
|
Object Detection (F16)
|
100% |
4011
299.4 IPS |
|
|
Object Detection (I8)
|
97% |
1555
116.1 IPS |
|
|
Face Detection (F32)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (F16)
|
97% |
10540
125.3 IPS |
|
|
Face Detection (I8)
|
96% |
10651
126.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12471
96.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
35771
277.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
42416
328.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28289
37.2 IPS |
|
|
Style Transfer (F16)
|
100% |
121993
160.5 IPS |
|
|
Style Transfer (I8)
|
100% |
122767
161.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7099
253.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17289
617.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18507
660.9 IPS |
|
|
Text Classification (F32)
|
100% |
454
651.9 IPS |
|
|
Text Classification (F16)
|
100% |
497
713.8 IPS |
|
|
Text Classification (I8)
|
96% |
306
440.5 IPS |
|
|
Machine Translation (F32)
|
100% |
744
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1553
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
683
12.6 IPS |
