iPhone 15 Pro Max
Geekbench AI Score
3792
Single Precision Score
6807
Half Precision Score
5484
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:32 PM |
| 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% |
1577
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
2924
543.7 IPS |
|
|
Image Classification (Q)
|
96% |
2000
373.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2955
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7414
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
14793
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12674
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
97% |
3282
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2312
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6663
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3721
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6805
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12897
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8862
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19910
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32013
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26977
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6175
228.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4400
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6152
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6194
107.0 IPS |
