iPhone 14 Pro Max
Geekbench AI Score
3516
Single Precision Score
23101
Half Precision Score
27045
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | June 02 2025 12:19 AM |
| Views | 6 |
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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
10366
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12940
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15351
248.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19183
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6957
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
98164
114.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104406
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
100% |
12927
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14561
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
30422
361.5 IPS |
|
|
Face Detection (Q)
|
100% |
39933
474.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5894
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75061
578.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
95292
745.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19002
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
178669
229.7 IPS |
|
|
Style Transfer (Q)
|
96% |
178726
230.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33574
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39417
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (Q)
|
93% |
2455
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7612
131.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8432
145.7 IPS |
