iPhone 15 Pro Max
Geekbench AI Score
3915
Single Precision Score
6932
Half Precision Score
5668
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 08:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.5 IPS |
|
|
Image Classification (Q)
|
96% |
2052
383.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8072
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
16657
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14277
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
3315
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2372
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6684
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3784
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6837
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12882
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8982
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21045
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33573
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27343
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4494
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5639
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6852
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6900
119.2 IPS |
