iPhone 14 Pro Max
Geekbench AI Score
3516
Single Precision Score
6061
Half Precision Score
4917
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.1 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6836
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14992
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12860
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6035
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6170
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12212
94.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8217
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18524
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27991
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23650
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4135
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4906
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2641
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4559
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4609
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5865
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5863
101.3 IPS |
