iPhone 15 Pro Max
Geekbench AI Score
3699
Single Precision Score
6604
Half Precision Score
5378
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 09:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1593
296.3 IPS |
|
|
Image Classification (HP)
|
100% |
2867
533.1 IPS |
|
|
Image Classification (Q)
|
96% |
2000
373.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2991
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6707
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
14081
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12656
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
97% |
3239
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2276
181.4 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6422
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
3695
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6517
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12730
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8746
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19089
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30982
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26025
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4530
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4198
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5734
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5889
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5914
102.2 IPS |
