iPhone 15 Pro Max
Geekbench AI Score
3835
Single Precision Score
6801
Half Precision Score
5533
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 05:46 AM |
| 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% |
1611
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.3 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3060
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7532
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15485
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13632
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3288
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3792
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6760
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12927
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9064
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20368
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32281
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26633
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6151
227.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5976
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5960
103.0 IPS |
