iPhone 11 Pro Max
Geekbench AI Score
1736
Single Precision Score
3165
Half Precision Score
2618
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:40 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% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3666
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6637
7.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
5914
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
751
59.5 IPS |
|
|
Object Detection (HP)
|
97% |
1625
129.4 IPS |
|
|
Object Detection (Q)
|
94% |
1176
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
1879
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3180
24.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5984
46.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4371
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7820
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14211
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12245
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2151
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3238
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3279
56.7 IPS |
