iPhone 15 Pro Max
Geekbench ML Score
8748
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | alpha_p |
| Upload Date | August 15 2024 02:26 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1331
249.0 IPS |
|
|
Image Classification (F16)
|
100% |
9845
1.84 KIPS |
|
|
Image Classification (I8)
|
99% |
10963
2.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1378
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2199
36.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2208
36.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14794
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
97155
117.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
99210
120.1 IPS |
|
|
Object Detection (F32)
|
100% |
1469
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
5512
411.5 IPS |
|
|
Object Detection (I8)
|
97% |
1592
118.9 IPS |
|
|
Face Detection (F32)
|
100% |
5897
70.1 IPS |
|
|
Face Detection (F16)
|
97% |
19445
231.2 IPS |
|
|
Face Detection (I8)
|
96% |
19540
232.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12267
95.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
50794
393.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
46313
359.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29474
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
125899
165.6 IPS |
|
|
Style Transfer (I8)
|
100% |
129448
170.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7155
255.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32735
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32520
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2894
4.16 KIPS |
|
|
Text Classification (F16)
|
100% |
4874
7.01 KIPS |
|
|
Text Classification (I8)
|
96% |
4835
6.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
622
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
644
11.9 IPS |
