iPhone 11
Geekbench AI Score
936
Single Precision Score
1133
Half Precision Score
508
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StripeyMiata |
| Upload Date | August 27 2025 06:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3215
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1261
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (Q)
|
94% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
388
4.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
2521
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3477
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1009
7.88 IPS |
|
|
Style Transfer (SP)
|
100% |
6143
7.90 IPS |
|
|
Style Transfer (HP)
|
100% |
8548
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2099
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1224
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.8 IPS |
|
|
Text Classification (HP)
|
100% |
403
537.7 IPS |
|
|
Text Classification (Q)
|
93% |
397
532.9 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (Q)
|
98% |
246
4.26 IPS |
