iPhone 15 Pro Max
Geekbench ML Score
6337
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 01:06 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% |
1753
328.0 IPS |
|
|
Image Classification (F16)
|
100% |
5843
1.09 KIPS |
|
|
Image Classification (I8)
|
99% |
6843
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1378
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1695
28.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1729
28.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14546
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
86317
104.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
85499
103.5 IPS |
|
|
Object Detection (F32)
|
100% |
2360
176.2 IPS |
|
|
Object Detection (F16)
|
100% |
4662
348.0 IPS |
|
|
Object Detection (I8)
|
97% |
1784
133.2 IPS |
|
|
Face Detection (F32)
|
100% |
6360
75.6 IPS |
|
|
Face Detection (F16)
|
97% |
10731
127.6 IPS |
|
|
Face Detection (I8)
|
96% |
10831
128.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12986
100.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
37971
294.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
50049
388.1 IPS |
|
|
Style Transfer (F32)
|
100% |
29273
38.5 IPS |
|
|
Style Transfer (F16)
|
100% |
123750
162.8 IPS |
|
|
Style Transfer (I8)
|
100% |
125618
165.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7239
258.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18431
658.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19109
682.4 IPS |
|
|
Text Classification (F32)
|
100% |
540
776.4 IPS |
|
|
Text Classification (F16)
|
100% |
569
818.2 IPS |
|
|
Text Classification (I8)
|
96% |
753
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
688
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1111
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
512
9.43 IPS |
