iPhone 15 Pro Max
Geekbench ML Score
4497
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:11 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1645
307.8 IPS |
|
|
Image Classification (F16)
|
100% |
2917
545.9 IPS |
|
|
Image Classification (I8)
|
99% |
2909
544.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
932
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1159
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1158
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7589
9.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
16088
19.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
16095
19.5 IPS |
|
|
Object Detection (F32)
|
100% |
1658
123.8 IPS |
|
|
Object Detection (F16)
|
100% |
2775
207.1 IPS |
|
|
Object Detection (I8)
|
97% |
1664
124.2 IPS |
|
|
Face Detection (F32)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
6227
74.0 IPS |
|
|
Face Detection (I8)
|
97% |
6248
74.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6837
53.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13514
104.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
13474
104.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20938
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
31807
41.8 IPS |
|
|
Style Transfer (I8)
|
100% |
33369
43.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5221
186.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6486
231.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6277
224.2 IPS |
|
|
Text Classification (F32)
|
100% |
2925
4.20 KIPS |
|
|
Text Classification (F16)
|
100% |
5190
7.46 KIPS |
|
|
Text Classification (I8)
|
96% |
5081
7.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1271
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1650
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1297
23.9 IPS |
