iPhone 15 Pro Max
Geekbench AI Score
3876
Single Precision Score
6767
Half Precision Score
5510
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 13 2024 11:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1686
313.6 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.5 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3057
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7567
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
15546
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13648
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
97% |
3313
263.8 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6647
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3785
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6830
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13154
101.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8924
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20410
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31368
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26879
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5897
217.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5553
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6187
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5997
103.6 IPS |
