iPhone 15 Pro Max
Geekbench AI Score
3787
Single Precision Score
6661
Half Precision Score
5464
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jessy |
| Upload Date | September 09 2024 01:42 PM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1620
301.2 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3020
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7765
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15918
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13891
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (HP)
|
97% |
3187
253.7 IPS |
|
|
Object Detection (Q)
|
94% |
2287
182.3 IPS |
|
|
Face Detection (SP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6182
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3690
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6764
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13289
102.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9062
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20371
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31784
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26874
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4328
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5744
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5812
100.4 IPS |
