iPhone 15 Pro Max
Geekbench AI Score
3777
Single Precision Score
6846
Half Precision Score
5611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:58 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% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
2949
548.4 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7672
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
16423
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14005
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.0 IPS |
|
|
Object Detection (HP)
|
97% |
3253
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3802
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6692
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12541
96.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8878
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20919
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33467
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27278
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4573
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5595
206.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7174
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6977
120.6 IPS |
