[iOS 18.0 beta 6] iPhone 14 Pro Max iPhone 14 Pro Max
Geekbench AI Score
3783
Single Precision Score
4300
Half Precision Score
3167
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | August 15 2024 10:28 PM |
| Views | 3 |
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% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
1571
292.2 IPS |
|
|
Image Classification (Q)
|
99% |
1613
300.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11620
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12403
14.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
11247
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
1944
154.2 IPS |
|
|
Object Detection (Q)
|
91% |
1549
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
5254
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
6168
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
4178
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8568
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9100
70.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
1130
8.74 IPS |
|
|
Style Transfer (SP)
|
100% |
20833
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22988
29.6 IPS |
|
|
Style Transfer (Q)
|
100% |
23198
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4589
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4781
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3604
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2668
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4657
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4603
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
786
13.6 IPS |
