iPhone 15 Pro Max
Geekbench AI Score
3954
Single Precision Score
6806
Half Precision Score
5571
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:52 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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3063
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7953
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
16362
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14395
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
97% |
3351
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6686
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3767
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7145
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13556
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9382
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21127
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32383
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27336
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4422
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5496
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5938
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5935
102.6 IPS |
