iPhone 11 Pro Max
Geekbench AI Score
927
Single Precision Score
1081
Half Precision Score
495
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 26 2026 12:40 AM |
| Views | 8 |
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% |
319
59.3 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2369
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1402
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
337
4.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
2385
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3245
25.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
909
7.10 IPS |
|
|
Style Transfer (SP)
|
100% |
6045
7.77 IPS |
|
|
Style Transfer (HP)
|
100% |
7227
9.29 IPS |
|
|
Style Transfer (Q)
|
96% |
2139
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
448
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.1 IPS |
|
|
Text Classification (HP)
|
100% |
376
502.5 IPS |
|
|
Text Classification (Q)
|
93% |
375
503.1 IPS |
|
|
Machine Translation (SP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (Q)
|
98% |
249
4.30 IPS |
