iPhone 15 Pro Max
Geekbench AI Score
4005
Single Precision Score
4571
Half Precision Score
4222
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | CME |
| Upload Date | August 15 2024 06:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (Q)
|
99% |
2016
376.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3884
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14990
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15928
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14562
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (Q)
|
92% |
2215
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
6495
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
8590
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
6091
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11265
86.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12716
98.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13046
100.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29745
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34942
44.9 IPS |
|
|
Style Transfer (Q)
|
100% |
34250
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6135
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6603
243.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5374
199.1 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.6 IPS |
|
|
Text Classification (HP)
|
100% |
502
669.6 IPS |
|
|
Text Classification (Q)
|
93% |
300
403.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1625
28.1 IPS |
