iPhone 11 Pro Max
Geekbench AI Score
1582
Single Precision Score
3069
Half Precision Score
2530
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 03:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
699
130.0 IPS |
|
|
Image Classification (HP)
|
100% |
1376
255.9 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1366
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3648
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6669
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5943
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1660
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2209
17.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5494
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4019
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6697
8.61 IPS |
|
|
Style Transfer (HP)
|
100% |
14536
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12244
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2553
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2038
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2238
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3117
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3113
53.8 IPS |
