iPhone 15 Pro Max
Geekbench AI Score
4002
Single Precision Score
6896
Half Precision Score
5641
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 01:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3082
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8478
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
17093
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14699
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1815
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3365
267.9 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6807
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3905
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13622
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9377
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21736
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32895
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27658
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4416
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6102
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6102
105.4 IPS |
