iPhone 14 Pro Max
Geekbench AI Score
4203
Single Precision Score
4565
Half Precision Score
4243
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | June 05 2025 01:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1624
302.1 IPS |
|
|
Image Classification (HP)
|
100% |
1656
308.0 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2804
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11608
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12417
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11840
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.2 IPS |
|
|
Object Detection (HP)
|
100% |
1907
151.3 IPS |
|
|
Object Detection (Q)
|
92% |
1713
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
5458
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
6365
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
5175
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9165
70.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8079
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20965
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23383
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22611
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4508
166.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4080
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4832
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1070
18.5 IPS |
