iPhone 15 Pro Max
Geekbench AI Score
4030
Single Precision Score
4725
Half Precision Score
4275
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | macbloke |
| Upload Date | August 31 2024 04:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1520
282.6 IPS |
|
|
Image Classification (HP)
|
100% |
1946
361.9 IPS |
|
|
Image Classification (Q)
|
99% |
2042
380.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3889
63.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3860
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14920
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15964
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14621
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
3025
239.9 IPS |
|
|
Object Detection (Q)
|
92% |
2346
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
6334
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
8560
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
6025
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11484
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13022
100.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13322
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29549
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34908
44.9 IPS |
|
|
Style Transfer (Q)
|
100% |
34240
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6711
247.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5314
196.9 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.4 IPS |
|
|
Text Classification (HP)
|
100% |
506
674.8 IPS |
|
|
Text Classification (Q)
|
93% |
319
428.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1620
28.0 IPS |
