iPhone 14 Pro Max
Geekbench AI Score
3569
Single Precision Score
4047
Half Precision Score
3636
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
1134
210.9 IPS |
|
|
Image Classification (Q)
|
97% |
1401
261.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2448
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10378
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11692
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10847
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
100% |
1873
148.6 IPS |
|
|
Object Detection (Q)
|
91% |
1513
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
4889
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
5810
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3955
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7645
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8649
66.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6913
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19772
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23046
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21416
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4671
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2633
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4675
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4694
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
720
12.4 IPS |
