iPhone 15 Pro Max
Geekbench AI Score
3892
Single Precision Score
6828
Half Precision Score
5630
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 04:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.3 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3040
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8164
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16923
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14517
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3263
259.8 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6729
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3848
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6936
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12772
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8944
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21463
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34002
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28062
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5695
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4354
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
2911
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5037
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5037
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6989
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7156
123.7 IPS |
