iPhone 14 Pro Max
Geekbench AI Score
2374
Single Precision Score
12727
Half Precision Score
13688
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | SpeedsterCamaro |
| Upload Date | August 30 2024 03:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1225
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
5783
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
6063
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5059
82.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5110
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6463
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
80147
93.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
84008
98.5 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
7249
575.0 IPS |
|
|
Object Detection (Q)
|
93% |
8392
669.6 IPS |
|
|
Face Detection (SP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
11044
131.2 IPS |
|
|
Face Detection (Q)
|
100% |
12945
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4132
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
39000
300.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
47754
369.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11196
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
119831
154.0 IPS |
|
|
Style Transfer (Q)
|
100% |
121353
156.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3266
120.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16883
623.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20635
764.5 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2894
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2360
40.8 IPS |
