iPhone 14 Pro Max
Geekbench AI Score
3916
Single Precision Score
4305
Half Precision Score
3783
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | March 28 2025 11:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (Q)
|
97% |
1327
247.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2521
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11754
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12396
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11453
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (Q)
|
91% |
1594
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
5438
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
6146
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
4142
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9150
70.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7586
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21147
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23819
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22609
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3765
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
2652
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4719
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4671
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
788
13.6 IPS |
