iPhone 14 Pro Max
Geekbench AI Score
3883
Single Precision Score
4263
Half Precision Score
3762
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1653
307.4 IPS |
|
|
Image Classification (HP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (Q)
|
97% |
1421
265.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11692
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12385
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11344
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1966
156.0 IPS |
|
|
Object Detection (HP)
|
100% |
1894
150.2 IPS |
|
|
Object Detection (Q)
|
91% |
1567
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
5320
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
6036
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4080
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8260
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8787
67.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7253
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21152
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23726
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22222
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4873
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3768
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4592
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4581
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
805
13.9 IPS |
