iPhone 15 Pro Max
Geekbench ML Score
8967
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1179
220.6 IPS |
|
|
Image Classification (F16)
|
100% |
9830
1.84 KIPS |
|
|
Image Classification (I8)
|
99% |
11833
2.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1365
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2153
36.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1884
31.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14648
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
97007
117.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
99742
120.8 IPS |
|
|
Object Detection (F32)
|
100% |
1524
113.8 IPS |
|
|
Object Detection (F16)
|
100% |
5862
437.6 IPS |
|
|
Object Detection (I8)
|
97% |
2081
155.3 IPS |
|
|
Face Detection (F32)
|
100% |
5756
68.4 IPS |
|
|
Face Detection (F16)
|
97% |
20140
239.5 IPS |
|
|
Face Detection (I8)
|
96% |
19959
237.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12183
94.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
53009
411.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
60532
469.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29520
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
130708
171.9 IPS |
|
|
Style Transfer (I8)
|
100% |
126604
166.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7313
261.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33840
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33555
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2983
4.29 KIPS |
|
|
Text Classification (F16)
|
100% |
5230
7.52 KIPS |
|
|
Text Classification (I8)
|
96% |
4897
7.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
655
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1600
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
646
11.9 IPS |
