iPhone 15 Pro Max
Geekbench AI Score
3918
Single Precision Score
7062
Half Precision Score
5708
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wilson53838 |
| Upload Date | October 02 2025 03:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1686
313.5 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.4 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8075
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
16441
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14214
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (HP)
|
97% |
3309
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6702
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3783
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6882
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12819
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8988
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21243
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33949
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27968
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6227
230.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4543
167.7 IPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
6037
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6002
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6851
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6800
117.5 IPS |
