iPhone 14 Pro Max
Geekbench AI Score
3512
Single Precision Score
22626
Half Precision Score
25003
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1424
264.8 IPS |
|
|
Image Classification (HP)
|
100% |
10363
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12253
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14984
242.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17867
289.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6605
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
95701
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
101352
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
12668
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14378
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
30123
357.9 IPS |
|
|
Face Detection (Q)
|
100% |
39661
471.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6174
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75090
578.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
95087
743.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18747
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
165619
212.9 IPS |
|
|
Style Transfer (Q)
|
96% |
170597
220.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32971
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35916
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2650
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
1683
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7246
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7698
133.0 IPS |
