iPhone 15 Pro Max
Geekbench AI Score
3803
Single Precision Score
26494
Half Precision Score
36025
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | December 29 2025 10:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1543
286.9 IPS |
|
|
Image Classification (HP)
|
100% |
10190
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
15180
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16324
264.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21214
343.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7629
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
106959
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204017
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
100% |
13461
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18296
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34483
409.7 IPS |
|
|
Face Detection (Q)
|
100% |
50533
600.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6769
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77297
595.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
123415
964.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21040
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205001
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
246619
318.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4720
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34108
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57486
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5796
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6589
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6427
111.1 IPS |
