iPhone 15 Pro Max
Geekbench AI Score
3972
Single Precision Score
6999
Half Precision Score
5716
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Garythomak |
| Upload Date | November 22 2025 01:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
3012
560.2 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8186
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
16832
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14326
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
97% |
3310
263.5 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6684
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7050
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12905
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9031
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21677
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34692
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28518
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5959
220.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5798
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6889
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6864
118.6 IPS |
