iPhone 15 Pro Max
Geekbench ML Score
6041
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 02:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1756
328.6 IPS |
|
|
Image Classification (F16)
|
100% |
6211
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6849
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1691
28.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1786
29.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
14485
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
82184
99.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
88059
106.6 IPS |
|
|
Object Detection (F32)
|
100% |
1868
139.5 IPS |
|
|
Object Detection (F16)
|
100% |
3790
282.9 IPS |
|
|
Object Detection (I8)
|
97% |
1886
140.8 IPS |
|
|
Face Detection (F32)
|
100% |
6444
76.6 IPS |
|
|
Face Detection (F16)
|
97% |
10549
125.4 IPS |
|
|
Face Detection (I8)
|
96% |
10564
125.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12240
94.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
38804
300.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
39180
303.8 IPS |
|
|
Style Transfer (F32)
|
100% |
28178
37.1 IPS |
|
|
Style Transfer (F16)
|
100% |
121701
160.1 IPS |
|
|
Style Transfer (I8)
|
100% |
120991
159.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6760
241.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17281
617.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18068
645.3 IPS |
|
|
Text Classification (F32)
|
100% |
464
667.6 IPS |
|
|
Text Classification (F16)
|
100% |
482
693.3 IPS |
|
|
Text Classification (I8)
|
96% |
301
432.1 IPS |
|
|
Machine Translation (F32)
|
100% |
749
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1559
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
