iPhone 14 Pro Max
Geekbench AI Score
3877
Single Precision Score
4312
Half Precision Score
3211
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | September 03 2024 04:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
1625
302.3 IPS |
|
|
Image Classification (Q)
|
99% |
1596
297.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2241
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2514
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11698
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12401
14.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
11217
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (Q)
|
91% |
1514
121.0 IPS |
|
|
Face Detection (SP)
|
100% |
5246
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8518
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8908
68.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
1336
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21164
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23700
30.5 IPS |
|
|
Style Transfer (Q)
|
100% |
23656
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4718
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3714
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4643
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4610
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
787
13.6 IPS |
