iPhone 11 Pro Max
Geekbench AI Score
1146
Single Precision Score
3517
Half Precision Score
696
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 02:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
541
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
2699
501.9 IPS |
|
|
Image Classification (Q)
|
97% |
261
48.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
297
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
28021
32.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3273
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (Q)
|
94% |
276
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
6925
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
365
4.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
1867
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23052
177.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
972
7.59 IPS |
|
|
Style Transfer (SP)
|
100% |
4900
6.30 IPS |
|
|
Style Transfer (HP)
|
100% |
9741
12.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4155
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4497
166.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
573
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.2 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.8 IPS |
|
|
Machine Translation (SP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
989
17.1 IPS |
