iPhone 14 Pro Max
Geekbench AI Score
3529
Single Precision Score
6053
Half Precision Score
4952
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | December 12 2024 04:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.4 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6861
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15235
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12957
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2058
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3084
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3492
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6203
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12178
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8249
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18838
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28303
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23690
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4922
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3730
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4628
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4736
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5804
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5923
102.4 IPS |
