iPhone 15 Pro Max
Geekbench AI Score
3946
Single Precision Score
6935
Half Precision Score
5678
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 04:07 PM |
| Views | 2 |
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
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.3 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3026
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8218
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
16691
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14270
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
97% |
3335
265.5 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6719
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3821
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6985
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12780
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9006
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21250
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34094
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28265
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4858
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4484
165.6 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5842
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5704
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6822
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6754
116.7 IPS |
