iPhone 15 Pro Max
Geekbench AI Score
3942
Single Precision Score
6957
Half Precision Score
5674
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 11:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1671
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
2973
552.8 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3032
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8144
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
16748
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14343
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
97% |
3319
264.2 IPS |
|
|
Object Detection (Q)
|
94% |
2366
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6770
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3797
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7006
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12931
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8998
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21119
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33987
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28144
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5874
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4484
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5680
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6882
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6832
118.1 IPS |
