iPhone 15 Pro Max
Geekbench AI Score
3667
Single Precision Score
6800
Half Precision Score
5567
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 01 2025 10:05 PM |
| Views | 10 |
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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
2937
546.1 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2993
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7061
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15825
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13630
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1619
128.5 IPS |
|
|
Object Detection (HP)
|
97% |
3220
256.4 IPS |
|
|
Object Detection (Q)
|
94% |
2315
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6243
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
3675
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6507
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12693
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8826
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19749
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32466
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26621
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4288
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5704
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7133
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7030
121.5 IPS |
