iPhone 15 Pro Max
Geekbench AI Score
3980
Single Precision Score
6988
Half Precision Score
5730
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2996
557.1 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3044
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8288
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16998
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14744
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1783
141.4 IPS |
|
|
Object Detection (HP)
|
97% |
3342
266.1 IPS |
|
|
Object Detection (Q)
|
94% |
2371
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6756
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3847
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7041
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12878
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9007
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21595
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34176
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28540
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4930
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5791
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4452
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5784
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7034
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7014
121.2 IPS |
