iPhone 14 Pro Max
Geekbench AI Score
3908
Single Precision Score
4363
Half Precision Score
3852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | December 12 2024 06:37 AM |
| 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% |
1672
311.0 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.7 IPS |
|
|
Image Classification (Q)
|
97% |
1505
280.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11720
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12379
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11475
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (Q)
|
91% |
1591
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
6249
74.3 IPS |
|
|
Face Detection (Q)
|
100% |
4214
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8469
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9101
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7549
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21160
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23686
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22285
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3948
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4709
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4669
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
792
13.7 IPS |
