iPhone 15 Pro Max
Geekbench AI Score
2097
Single Precision Score
2300
Half Precision Score
1225
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
1106
205.6 IPS |
|
|
Image Classification (Q)
|
97% |
512
95.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
591
9.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
6443
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
11980
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
6410
7.51 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
98% |
1261
100.3 IPS |
|
|
Object Detection (Q)
|
94% |
551
43.9 IPS |
|
|
Face Detection (SP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (Q)
|
100% |
591
7.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
3077
23.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3632
28.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1747
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10921
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11005
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
6991
9.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1870
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3381
124.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
899
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
897
1.20 KIPS |
|
|
Text Classification (Q)
|
93% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2090
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1336
23.1 IPS |
