iPhone 14 Pro Max
Geekbench AI Score
3530
Single Precision Score
19323
Half Precision Score
22041
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 06:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
9777
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
12734
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11671
189.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13405
217.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6968
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
96704
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102139
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12807
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14281
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
30342
360.5 IPS |
|
|
Face Detection (Q)
|
100% |
38090
452.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6189
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
74348
572.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
94226
736.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18943
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
173969
223.6 IPS |
|
|
Style Transfer (Q)
|
96% |
169473
218.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4185
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31523
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37891
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (Q)
|
93% |
1979
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2383
41.2 IPS |
