iPhone 15 Pro Max
Geekbench AI Score
3917
Single Precision Score
20922
Half Precision Score
26894
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | IgorFromRussia |
| Upload Date | September 01 2024 12:05 PM |
| Views | 6 |
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% |
1693
314.8 IPS |
|
|
Image Classification (HP)
|
100% |
10542
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
12460
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10756
174.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
10793
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7781
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
102366
119.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
196381
230.3 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
12646
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
17888
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
21812
259.2 IPS |
|
|
Face Detection (Q)
|
100% |
34771
413.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7074
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
63465
489.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
73726
570.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20917
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
137142
176.3 IPS |
|
|
Style Transfer (Q)
|
100% |
138340
177.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33880
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
53034
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3049
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7309
126.3 IPS |
