iPhone 15 Pro Max
Geekbench AI Score
3768
Single Precision Score
5600
Half Precision Score
4798
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1745
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.5 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2103
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7821
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
16064
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14170
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
2626
209.1 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4970
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
3176
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6217
47.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9695
74.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7262
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20466
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31238
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26150
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4715
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6228
230.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5270
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2927
50.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4652
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4645
80.3 IPS |
