iPhone 14 Pro Max
Geekbench AI Score
3512
Single Precision Score
6175
Half Precision Score
5013
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 12:22 AM |
| Views | 1 |
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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2555
475.1 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2624
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7066
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15663
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13233
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2889
230.0 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5939
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3439
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6048
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11586
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7950
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18994
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29656
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24420
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5162
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3877
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4791
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4783
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6509
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6536
113.0 IPS |
