iPhone 11 Pro Max
Geekbench AI Score
1639
Single Precision Score
2730
Half Precision Score
2239
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | oguogu |
| Upload Date | August 23 2024 12:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
765
142.2 IPS |
|
|
Image Classification (HP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (Q)
|
99% |
1140
212.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6745
7.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
5909
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
97% |
1321
105.1 IPS |
|
|
Object Detection (Q)
|
94% |
1020
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (Q)
|
100% |
1674
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3000
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4897
37.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
2558
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7578
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
13683
17.6 IPS |
|
|
Style Transfer (Q)
|
100% |
13689
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2102
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2008
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2435
42.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2426
41.9 IPS |
