iPhone 15 Pro Max
Geekbench AI Score
3744
Single Precision Score
6850
Half Precision Score
5616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:08 AM |
| Views | 1 |
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% |
1555
289.1 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.7 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3013
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7396
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
16245
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14017
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
3245
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6612
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3777
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6633
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12559
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8915
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20339
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32878
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27273
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4541
167.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5888
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4397
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7016
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7013
121.2 IPS |
