iPhone 15 Pro Max
Geekbench AI Score
3886
Single Precision Score
6866
Half Precision Score
5645
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 07 2025 11:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3021
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7684
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
16114
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13944
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.9 IPS |
|
|
Object Detection (HP)
|
97% |
3246
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6594
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3783
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6860
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12712
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8899
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21007
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33848
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27740
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4780
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4404
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7180
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7252
125.3 IPS |
