iPhone 11 Pro Max
Geekbench AI Score
1728
Single Precision Score
3140
Half Precision Score
2619
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 02:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
806
150.0 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1462
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3566
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6593
7.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
5880
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (HP)
|
97% |
1577
125.6 IPS |
|
|
Object Detection (Q)
|
94% |
1165
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
1637
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1849
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3117
24.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5809
44.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4365
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7620
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
14687
18.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12311
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2176
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2230
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2241
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3192
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3189
55.1 IPS |
