iPhone 15 Pro Max
Geekbench AI Score
4021
Single Precision Score
6896
Half Precision Score
5642
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xrulgeekbench |
| Upload Date | November 09 2024 06:18 PM |
| Views | 2 |
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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2940
546.8 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8541
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
17203
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14981
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
97% |
3368
268.1 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7258
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13692
105.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9376
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21836
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32723
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27657
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5126
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4444
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6025
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
