iPhone 15 Pro Max
Geekbench AI Score
3878
Single Precision Score
6889
Half Precision Score
5652
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 05:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
100% |
2983
554.7 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3000
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
15690
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13947
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
97% |
3295
262.4 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6724
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3791
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6801
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12796
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8932
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21035
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33299
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27795
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4480
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5952
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5774
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6827
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6888
119.0 IPS |
