iPhone 15 Pro Max
Geekbench AI Score
3961
Single Precision Score
6866
Half Precision Score
5592
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3086
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8140
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
16418
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14240
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
97% |
3339
265.8 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6730
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3880
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7075
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13458
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9242
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21178
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32543
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27300
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4907
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5815
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5715
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6105
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6005
103.8 IPS |
