iPhone 15 Pro Max
Geekbench AI Score
3751
Single Precision Score
6784
Half Precision Score
5540
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 24 2025 03:37 PM |
| Views | 3 |
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% |
1634
304.0 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.1 IPS |
|
|
Image Classification (Q)
|
96% |
2055
383.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3027
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7279
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
15337
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13456
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (HP)
|
97% |
3286
261.6 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
6558
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3610
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6583
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12736
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8829
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19727
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32069
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26110
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4536
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5776
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4351
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5683
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5712
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6784
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6784
117.2 IPS |
