iPhone 14 Pro Max
Geekbench AI Score
3484
Single Precision Score
6035
Half Precision Score
4913
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6739
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15088
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12702
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2904
231.2 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3444
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6215
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12150
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8342
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18518
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28068
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23660
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4143
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3696
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4627
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4625
6.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5811
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5833
100.8 IPS |
