iPhone 15 Pro Max
Geekbench AI Score
3760
Single Precision Score
6630
Half Precision Score
5443
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.2 IPS |
|
|
Image Classification (Q)
|
96% |
1997
372.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3009
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7890
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
16121
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14017
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3233
257.3 IPS |
|
|
Object Detection (Q)
|
94% |
2266
180.6 IPS |
|
|
Face Detection (SP)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3644
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6782
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13110
101.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9111
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20431
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31994
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26951
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4685
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5813
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4354
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5576
96.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5613
97.0 IPS |
