iPhone 14 Pro Max
Geekbench AI Score
3512
Single Precision Score
6163
Half Precision Score
5006
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 08:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
2555
475.1 IPS |
|
|
Image Classification (Q)
|
96% |
1754
327.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15383
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13077
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2892
230.2 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5964
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3441
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6043
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11507
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7904
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18701
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29607
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24417
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4082
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3851
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4741
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6627
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6599
114.0 IPS |
