iPhone 15 Pro Max
Geekbench AI Score
3628
Single Precision Score
6155
Half Precision Score
5436
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 12:37 PM |
| Views | 1 |
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% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.7 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2859
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6078
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14178
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12562
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
3290
261.9 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (Q)
|
100% |
3424
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6177
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12354
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8335
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20250
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33386
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27337
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4631
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4354
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6917
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6950
120.1 IPS |
