iPhone 15 Pro Max
Geekbench ML Score
6039
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 12:17 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% |
1174
219.6 IPS |
|
|
Image Classification (F16)
|
100% |
6270
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6954
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1374
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1747
29.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1792
29.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14900
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
83323
100.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
84707
102.6 IPS |
|
|
Object Detection (F32)
|
100% |
2418
180.5 IPS |
|
|
Object Detection (F16)
|
100% |
3842
286.8 IPS |
|
|
Object Detection (I8)
|
97% |
1633
121.9 IPS |
|
|
Face Detection (F32)
|
100% |
6379
75.8 IPS |
|
|
Face Detection (F16)
|
97% |
10674
126.9 IPS |
|
|
Face Detection (I8)
|
96% |
10681
127.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12357
95.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
38070
295.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
44850
347.8 IPS |
|
|
Style Transfer (F32)
|
100% |
28784
37.9 IPS |
|
|
Style Transfer (F16)
|
100% |
120714
158.8 IPS |
|
|
Style Transfer (I8)
|
100% |
122409
161.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7076
252.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17808
636.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17424
622.3 IPS |
|
|
Text Classification (F32)
|
100% |
458
658.3 IPS |
|
|
Text Classification (F16)
|
100% |
493
708.1 IPS |
|
|
Text Classification (I8)
|
96% |
305
437.9 IPS |
|
|
Machine Translation (F32)
|
100% |
735
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1564
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
676
12.4 IPS |
