iPhone 15 Pro Max
Geekbench AI Score
3879
Single Precision Score
6789
Half Precision Score
5571
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 12:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1622
301.6 IPS |
|
|
Image Classification (HP)
|
100% |
2895
538.3 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7922
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
16338
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14158
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
97% |
3181
253.3 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6597
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3774
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6988
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13316
102.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9220
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21026
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32541
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27188
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4413
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5659
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5649
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6044
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6004
103.8 IPS |
