iPhone 15 Pro Max
Geekbench ML Score
5802
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 11:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1565
292.9 IPS |
|
|
Image Classification (F16)
|
100% |
6132
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6827
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1260
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1677
28.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1692
28.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14586
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
82508
99.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
83711
101.4 IPS |
|
|
Object Detection (F32)
|
100% |
2376
177.4 IPS |
|
|
Object Detection (F16)
|
100% |
3684
275.0 IPS |
|
|
Object Detection (I8)
|
97% |
1479
110.4 IPS |
|
|
Face Detection (F32)
|
100% |
6415
76.3 IPS |
|
|
Face Detection (F16)
|
97% |
10274
122.2 IPS |
|
|
Face Detection (I8)
|
96% |
10510
125.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
11984
92.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36849
285.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
37953
294.3 IPS |
|
|
Style Transfer (F32)
|
100% |
27876
36.7 IPS |
|
|
Style Transfer (F16)
|
100% |
122604
161.3 IPS |
|
|
Style Transfer (I8)
|
100% |
117281
154.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6496
232.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17453
623.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16387
585.2 IPS |
|
|
Text Classification (F32)
|
100% |
374
538.2 IPS |
|
|
Text Classification (F16)
|
100% |
384
551.7 IPS |
|
|
Text Classification (I8)
|
96% |
318
457.1 IPS |
|
|
Machine Translation (F32)
|
100% |
706
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1504
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
633
11.7 IPS |
