iPhone 15 Pro Max
Geekbench AI Score
3655
Single Precision Score
5427
Half Precision Score
4516
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | August 15 2024 08:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.8 IPS |
|
|
Image Classification (Q)
|
99% |
2210
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1329
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7473
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
15791
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13660
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
97% |
2552
203.2 IPS |
|
|
Object Detection (Q)
|
94% |
1969
156.9 IPS |
|
|
Face Detection (SP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
3098
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6247
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9542
73.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4894
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19805
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30224
38.9 IPS |
|
|
Style Transfer (Q)
|
100% |
30126
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4585
169.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4296
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3116
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5157
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4445
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4422
76.4 IPS |
