iPhone 15 Pro Max
Geekbench AI Score
3776
Single Precision Score
6907
Half Precision Score
5346
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1562
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.8 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3032
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7672
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
16927
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14669
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.4 IPS |
|
|
Object Detection (HP)
|
97% |
3286
261.6 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6690
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3844
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6656
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12397
95.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4952
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21089
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33558
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27421
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4649
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4391
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5412
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7294
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7203
124.5 IPS |
