iPhone 15 Pro Max
Geekbench AI Score
3850
Single Precision Score
6840
Half Precision Score
5614
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 05:51 AM |
| Views | 1 |
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% |
1649
306.6 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.4 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7992
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
16380
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14305
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6570
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3790
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6835
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12688
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8878
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20655
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33867
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27191
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5747
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4406
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5150
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7117
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7178
124.0 IPS |
