iPhone 11 Pro
Geekbench AI Score
1683
Single Precision Score
3096
Half Precision Score
2573
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:18 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1360
252.8 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6646
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5933
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
97% |
1579
125.7 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3028
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5513
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4134
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7591
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
14598
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12441
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2643
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2060
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2200
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3286
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3268
56.5 IPS |
