iPhone 14 Pro Max
Geekbench AI Score
3562
Single Precision Score
4313
Half Precision Score
3781
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | December 12 2024 04:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1222
227.2 IPS |
|
|
Image Classification (HP)
|
100% |
1557
289.5 IPS |
|
|
Image Classification (Q)
|
97% |
1497
279.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2526
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11698
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12353
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11414
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.8 IPS |
|
|
Object Detection (HP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (Q)
|
91% |
1612
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
6126
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
4049
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8397
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8808
67.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7164
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21088
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23617
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22029
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4697
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3862
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4768
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4680
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
