iPhone 15 Pro Max
Geekbench AI Score
3829
Single Precision Score
6797
Half Precision Score
5531
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:24 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% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.7 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3012
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7616
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15852
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13785
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
97% |
3314
263.8 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6675
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3816
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6784
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13115
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9068
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20599
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31896
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26822
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4814
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5806
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5656
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6018
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5978
103.3 IPS |
