iPhone 14 Pro Max
Geekbench AI Score
3149
Single Precision Score
3296
Half Precision Score
3006
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ranzi |
| Upload Date | August 15 2024 09:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
1685
313.3 IPS |
|
|
Image Classification (Q)
|
99% |
1680
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2619
42.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2634
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11099
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9745
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11052
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (Q)
|
92% |
1623
129.5 IPS |
|
|
Face Detection (SP)
|
100% |
5191
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
5739
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
4175
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9040
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9564
73.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
9125
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18346
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18155
23.3 IPS |
|
|
Style Transfer (Q)
|
100% |
18583
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4478
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5028
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4221
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.7 IPS |
|
|
Text Classification (HP)
|
100% |
414
552.9 IPS |
|
|
Text Classification (Q)
|
93% |
255
341.8 IPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
