iPhone 14 Pro Max
Geekbench AI Score
3538
Single Precision Score
6084
Half Precision Score
4935
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gethen |
| Upload Date | December 15 2024 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6951
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
15351
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12954
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2929
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2063
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
2950
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6080
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3497
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6267
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12158
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8240
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18779
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28252
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23702
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4921
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3687
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2639
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4635
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4653
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5915
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5880
101.6 IPS |
