iPhone 14 Pro Max
Geekbench AI Score
3515
Single Precision Score
6028
Half Precision Score
4916
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6937
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15073
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12961
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2044
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6017
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12102
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8231
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18618
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28091
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23626
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4181
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4559
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4628
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5855
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5848
101.1 IPS |
