iPhone 14 Pro Max
Geekbench AI Score
2393
Single Precision Score
12901
Half Precision Score
14955
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | September 12 2024 01:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1225
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
5776
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
6304
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5055
81.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9633
156.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6435
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
80940
94.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87061
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
100% |
7803
619.0 IPS |
|
|
Object Detection (Q)
|
93% |
8315
663.5 IPS |
|
|
Face Detection (SP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
10999
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
12995
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4179
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40668
313.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
50199
392.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11336
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119838
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
113879
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3278
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16788
619.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21467
792.7 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3348
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1656
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2385
41.2 IPS |
