iPhone 15 Pro Max
Geekbench AI Score
5028
Single Precision Score
5920
Half Precision Score
4462
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | zedkiel |
| Upload Date | August 21 2024 12:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2039
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
2043
379.9 IPS |
|
|
Image Classification (Q)
|
99% |
2082
388.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3910
63.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3942
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15045
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15919
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14583
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (HP)
|
100% |
2797
221.9 IPS |
|
|
Object Detection (Q)
|
91% |
2257
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
6510
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
8764
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
6230
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11563
89.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13021
100.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
1844
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30022
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36179
46.5 IPS |
|
|
Style Transfer (Q)
|
100% |
36393
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6487
239.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6737
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5049
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
998
17.2 IPS |
