iPhone 15 Pro Max
Geekbench AI Score
3852
Single Precision Score
6717
Half Precision Score
5489
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:14 PM |
| 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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.2 IPS |
|
|
Image Classification (Q)
|
96% |
2007
374.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7716
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15671
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13854
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2286
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6535
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3766
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6721
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13104
101.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9044
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20557
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31953
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26738
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4308
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5914
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5982
103.4 IPS |
