iPhone 14 Pro Max
Geekbench AI Score
3530
Single Precision Score
6151
Half Precision Score
5009
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 10:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1431
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7075
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
15614
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13328
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2895
230.4 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6068
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11475
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7919
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19035
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29637
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24450
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4124
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3858
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4773
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4744
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6540
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6539
113.0 IPS |
