iPhone 14 Pro Max
Geekbench AI Score
3909
Single Precision Score
4253
Half Precision Score
3639
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1670
310.6 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (Q)
|
97% |
1319
246.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2455
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11704
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12355
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11253
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (Q)
|
91% |
1481
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
5247
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
5843
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
4022
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8681
66.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6778
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21103
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23671
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21518
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3716
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4570
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4545
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
763
13.2 IPS |
