iPhone 14 Pro Max
Geekbench AI Score
2098
Single Precision Score
3957
Half Precision Score
3672
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | taebudeeman |
| Upload Date | December 18 2024 06:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
279
51.8 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
96% |
471
88.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
625
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1185
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5288
6.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
12995
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
2786
221.8 IPS |
|
|
Object Detection (Q)
|
94% |
2029
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5910
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3406
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5897
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11801
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7955
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18030
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27736
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22957
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3650
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4486
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4480
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5671
98.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5658
97.8 IPS |
