iPhone 14 Pro Max
Geekbench AI Score
3490
Single Precision Score
24155
Half Precision Score
27406
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A0B06 |
| Upload Date | May 25 2025 11:40 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1411
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
10316
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12328
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16162
262.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19081
309.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6602
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
102458
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102009
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
12837
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14345
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
31235
371.1 IPS |
|
|
Face Detection (Q)
|
100% |
40341
479.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6068
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75307
580.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
96913
757.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18565
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
164374
211.3 IPS |
|
|
Style Transfer (Q)
|
96% |
180851
233.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35178
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38570
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3005
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7552
130.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8475
146.5 IPS |
