iPhone 15 Pro Max
Geekbench AI Score
3842
Single Precision Score
6838
Half Precision Score
5630
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 04:12 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1644
305.8 IPS |
|
|
Image Classification (HP)
|
100% |
2938
546.4 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3008
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7590
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15820
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13865
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3244
258.3 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6569
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3742
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6804
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12607
97.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8757
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20256
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33219
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27310
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4423
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5593
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5668
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7155
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7207
124.5 IPS |
