iPhone 11 Pro Max
Geekbench AI Score
916
Single Precision Score
1061
Half Precision Score
470
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 06:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
97% |
216
40.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
326
5.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
308
4.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
1975
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2567
3.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
1346
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (HP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
94% |
243
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
340
4.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
2475
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3083
23.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
887
6.93 IPS |
|
|
Style Transfer (SP)
|
100% |
6123
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
6740
8.66 IPS |
|
|
Style Transfer (Q)
|
96% |
2146
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
435
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.3 IPS |
|
|
Text Classification (HP)
|
100% |
376
502.1 IPS |
|
|
Text Classification (Q)
|
93% |
359
481.4 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (Q)
|
98% |
243
4.21 IPS |
