iPhone 11 Pro Max
Geekbench AI Score
1706
Single Precision Score
3154
Half Precision Score
2594
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 01:50 AM |
| 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% |
793
147.4 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3551
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6462
7.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
5782
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1622
129.2 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1645
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1850
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3077
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5940
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4358
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7514
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
14093
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12242
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2726
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2107
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3218
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3133
54.1 IPS |
