iPhone 15 Pro Max
Geekbench AI Score
4123
Single Precision Score
4625
Half Precision Score
4238
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 01:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1870
347.7 IPS |
|
|
Image Classification (HP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (Q)
|
99% |
2027
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3899
63.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3904
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14790
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15699
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14656
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
2676
212.2 IPS |
|
|
Object Detection (Q)
|
92% |
2231
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
6876
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
9008
107.0 IPS |
|
|
Face Detection (Q)
|
100% |
6017
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11654
89.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12681
97.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13256
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28692
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35227
45.3 IPS |
|
|
Style Transfer (Q)
|
100% |
35891
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5894
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6427
237.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5253
194.6 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.6 IPS |
|
|
Text Classification (HP)
|
100% |
506
675.5 IPS |
|
|
Text Classification (Q)
|
93% |
304
407.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1582
27.3 IPS |
