iPhone 15 Pro Max
Geekbench ML Score
6035
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 01 2024 08:53 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1370
256.4 IPS |
|
|
Image Classification (F16)
|
100% |
6270
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6764
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1368
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1711
28.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1766
29.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14769
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
83600
101.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
84665
102.5 IPS |
|
|
Object Detection (F32)
|
100% |
1528
114.1 IPS |
|
|
Object Detection (F16)
|
100% |
3872
289.1 IPS |
|
|
Object Detection (I8)
|
97% |
1645
122.8 IPS |
|
|
Face Detection (F32)
|
100% |
6140
73.0 IPS |
|
|
Face Detection (F16)
|
97% |
10639
126.5 IPS |
|
|
Face Detection (I8)
|
96% |
10639
126.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12362
95.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
38930
301.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
38407
297.8 IPS |
|
|
Style Transfer (F32)
|
100% |
29410
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
122766
161.5 IPS |
|
|
Style Transfer (I8)
|
100% |
121886
160.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7156
255.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17374
620.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17631
629.6 IPS |
|
|
Text Classification (F32)
|
100% |
650
934.4 IPS |
|
|
Text Classification (F16)
|
100% |
510
732.5 IPS |
|
|
Text Classification (I8)
|
96% |
312
448.4 IPS |
|
|
Machine Translation (F32)
|
100% |
750
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1593
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
706
13.0 IPS |
