iPhone 15 Pro Max
Geekbench AI Score
4917
Single Precision Score
5811
Half Precision Score
5250
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 09 2024 04:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1830
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
1678
312.0 IPS |
|
|
Image Classification (Q)
|
97% |
1800
335.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3939
63.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4016
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15085
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15882
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14967
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
3070
243.5 IPS |
|
|
Object Detection (Q)
|
91% |
2324
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
6292
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
8878
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
6297
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11323
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12563
96.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10722
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29565
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34586
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33848
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6310
233.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6645
245.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5389
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
931
16.1 IPS |
