iPhone 14 Pro Max
Geekbench AI Score
3834
Single Precision Score
4180
Half Precision Score
3630
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2024 10:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
1464
272.4 IPS |
|
|
Image Classification (Q)
|
97% |
1276
238.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11653
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12343
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11286
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1888
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (Q)
|
91% |
1459
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
6012
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
4102
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8733
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6768
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20928
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23281
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21799
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4440
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4594
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4555
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
779
13.5 IPS |
