iPhone 14 Pro Max
Geekbench AI Score
3841
Single Precision Score
4300
Half Precision Score
3753
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1542
286.7 IPS |
|
|
Image Classification (HP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (Q)
|
97% |
1331
248.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2552
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11660
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12412
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11344
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1891
150.0 IPS |
|
|
Object Detection (HP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (Q)
|
91% |
1539
123.0 IPS |
|
|
Face Detection (SP)
|
100% |
5330
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
6291
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
4119
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8819
67.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7312
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20965
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23432
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21977
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4521
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3775
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
2649
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4656
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
805
13.9 IPS |
