iPhone 14 Pro Max
Geekbench AI Score
3136
Single Precision Score
3288
Half Precision Score
1195
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | September 12 2024 01:40 AM |
| Views | 12 |
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% |
1486
276.3 IPS |
|
|
Image Classification (HP)
|
100% |
1456
270.8 IPS |
|
|
Image Classification (Q)
|
97% |
1197
223.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2244
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2439
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11462
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12250
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11042
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (Q)
|
92% |
1473
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
5026
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
5761
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3828
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8770
67.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20879
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23291
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21553
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4529
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3806
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.5 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.2 IPS |
|
|
Text Classification (Q)
|
93% |
271
363.9 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1470
25.4 IPS |
