iPhone 15 Pro Max
Geekbench AI Score
3976
Single Precision Score
7012
Half Precision Score
5740
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fusedstamen |
| Upload Date | June 23 2025 08:06 PM |
| Views | 9 |
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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.2 IPS |
|
|
Image Classification (Q)
|
96% |
2050
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8355
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
17211
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14871
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
97% |
3322
264.5 IPS |
|
|
Object Detection (Q)
|
94% |
2387
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6758
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3844
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7005
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12790
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9031
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21611
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34817
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28211
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5005
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5845
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4454
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5756
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6957
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6889
119.1 IPS |
