iPhone 15 Pro Max
Geekbench AI Score
4950
Single Precision Score
5781
Half Precision Score
5255
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 15 2024 05:07 AM |
| Views | 8 |
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% |
1827
339.8 IPS |
|
|
Image Classification (HP)
|
100% |
1633
303.7 IPS |
|
|
Image Classification (Q)
|
97% |
1809
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2957
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4029
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15052
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15843
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14917
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2918
231.5 IPS |
|
|
Object Detection (Q)
|
91% |
2445
195.3 IPS |
|
|
Face Detection (SP)
|
100% |
6499
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
8810
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
6269
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11387
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12527
96.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10701
83.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29492
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35517
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33786
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6323
233.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6751
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5332
196.9 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
914
15.8 IPS |
