iPhone 15 Pro Max
Geekbench AI Score
3872
Single Precision Score
6791
Half Precision Score
5539
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | GatorTPK |
| Upload Date | September 22 2024 02:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7659
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15800
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13818
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
3295
262.3 IPS |
|
|
Object Detection (Q)
|
94% |
2315
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6452
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
3743
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6932
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13228
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9138
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20645
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32421
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26812
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4450
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5682
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5952
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5958
103.0 IPS |
