iPhone 11 Pro Max
Geekbench AI Score
1730
Single Precision Score
3169
Half Precision Score
2607
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
796
148.1 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
96% |
982
183.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3630
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6643
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5927
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
97% |
1606
127.9 IPS |
|
|
Object Detection (Q)
|
94% |
1180
94.1 IPS |
|
|
Face Detection (SP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1870
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3183
24.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5973
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4345
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7749
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
14155
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12220
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2105
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3293
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3213
55.5 IPS |
