iPhone 14 Pro Max
Geekbench AI Score
3896
Single Precision Score
4287
Half Precision Score
3757
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1689
314.0 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.7 IPS |
|
|
Image Classification (Q)
|
97% |
1437
268.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2458
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11668
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12319
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11490
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (Q)
|
91% |
1582
126.4 IPS |
|
|
Face Detection (SP)
|
100% |
5325
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
5986
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8713
67.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7274
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21175
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23750
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22250
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4751
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3740
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4543
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4535
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
792
13.7 IPS |
