iPhone 14 Pro Max
Geekbench AI Score
3243
Single Precision Score
4937
Half Precision Score
4112
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | August 16 2024 04:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
1930
358.9 IPS |
|
|
Image Classification (Q)
|
99% |
1926
359.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1247
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6372
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
14831
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12640
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2303
183.3 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (Q)
|
100% |
2902
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5571
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8718
67.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4451
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17699
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27239
35.0 IPS |
|
|
Style Transfer (Q)
|
100% |
27522
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3641
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4375
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4501
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4622
79.9 IPS |
