iPhone 15 Pro Max
Geekbench AI Score
4632
Single Precision Score
5628
Half Precision Score
4339
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bittenapple |
| Upload Date | August 16 2024 08:53 AM |
| Views | 3 |
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% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.8 IPS |
|
|
Image Classification (Q)
|
99% |
2292
427.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3797
61.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3799
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13997
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14991
17.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14107
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
2777
220.3 IPS |
|
|
Object Detection (Q)
|
91% |
2169
173.3 IPS |
|
|
Face Detection (SP)
|
100% |
5869
69.7 IPS |
|
|
Face Detection (HP)
|
100% |
8447
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
6111
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11274
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12200
94.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1638
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28526
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34527
44.4 IPS |
|
|
Style Transfer (Q)
|
100% |
34025
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6534
241.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5124
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4965
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
916
15.8 IPS |
