iPhone 15 Pro Max
Geekbench ML Score
8938
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:11 PM |
| Views | 2 |
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% |
1272
238.0 IPS |
|
|
Image Classification (F16)
|
100% |
10012
1.87 KIPS |
|
|
Image Classification (I8)
|
99% |
10641
1.99 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1338
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2099
35.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2163
36.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14734
17.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
97247
117.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
99907
121.0 IPS |
|
|
Object Detection (F32)
|
100% |
1481
110.6 IPS |
|
|
Object Detection (F16)
|
100% |
5467
408.1 IPS |
|
|
Object Detection (I8)
|
97% |
2029
151.5 IPS |
|
|
Face Detection (F32)
|
100% |
5980
71.1 IPS |
|
|
Face Detection (F16)
|
97% |
19438
231.1 IPS |
|
|
Face Detection (I8)
|
96% |
19228
228.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12368
95.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
51775
401.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
66146
513.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29525
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
129815
170.8 IPS |
|
|
Style Transfer (I8)
|
100% |
129744
170.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7222
257.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34194
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31131
1.11 KIPS |
|
|
Text Classification (F32)
|
100% |
2934
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
5097
7.33 KIPS |
|
|
Text Classification (I8)
|
96% |
5190
7.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
635
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1640
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
609
11.2 IPS |
