iPhone 14 Pro Max
Geekbench AI Score
2381
Single Precision Score
12767
Half Precision Score
13729
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | August 15 2024 07:19 PM |
| Views | 1 |
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% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
5901
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
6185
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5045
81.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5032
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6431
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
80283
93.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
84374
99.0 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
100% |
7170
568.7 IPS |
|
|
Object Detection (Q)
|
93% |
8328
664.5 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
10568
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
12806
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4173
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41157
317.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
45254
349.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11295
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121361
156.0 IPS |
|
|
Style Transfer (Q)
|
100% |
120191
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3296
121.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16601
613.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21272
788.1 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3106
4.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2385
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2365
40.9 IPS |
