iPhone 15 Pro Max
Geekbench AI Score
3734
Single Precision Score
6828
Half Precision Score
5575
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:08 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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3002
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7298
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16072
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13658
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
97% |
3243
258.2 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6605
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3722
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6644
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12649
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8821
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20193
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32574
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26877
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4513
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4301
158.8 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7164
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7214
124.7 IPS |
