iPhone 15 Pro Max
Geekbench AI Score
4009
Single Precision Score
21305
Half Precision Score
27594
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pythagoras |
| Upload Date | August 27 2024 08:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1725
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
11009
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
12842
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10846
175.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
10853
175.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8072
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
102780
119.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
198919
233.3 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
12991
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18692
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
21637
257.1 IPS |
|
|
Face Detection (Q)
|
100% |
36225
430.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7191
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
64080
493.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
73461
568.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21467
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138153
177.6 IPS |
|
|
Style Transfer (Q)
|
100% |
138223
177.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34657
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
56538
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3156
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6032
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7526
130.1 IPS |
