iPhone 11 Pro
Geekbench AI Score
918
Single Precision Score
1139
Half Precision Score
534
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.4 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1284
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (Q)
|
94% |
300
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
397
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
2491
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3475
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1041
8.12 IPS |
|
|
Style Transfer (SP)
|
100% |
6165
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8609
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2137
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1156
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.9 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.8 IPS |
|
|
Text Classification (Q)
|
93% |
405
543.7 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
98% |
361
6.23 IPS |
