iPhone 15 Pro Max
Geekbench AI Score
3910
Single Precision Score
6777
Half Precision Score
5561
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 02:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.2 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3070
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8130
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
16299
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14286
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
97% |
3341
266.0 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6666
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3872
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6928
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13364
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9148
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21238
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32282
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27484
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5313
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5297
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5949
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6013
103.9 IPS |
