iPhone 11
Geekbench AI Score
920
Single Precision Score
1112
Half Precision Score
492
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | January 14 2025 08:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
303
56.3 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3208
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1242
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (Q)
|
94% |
269
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
356
4.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
2480
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3441
26.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
954
7.45 IPS |
|
|
Style Transfer (SP)
|
100% |
6086
7.82 IPS |
|
|
Style Transfer (HP)
|
100% |
7623
9.80 IPS |
|
|
Style Transfer (Q)
|
96% |
2101
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.4 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.6 IPS |
|
|
Text Classification (Q)
|
93% |
402
540.1 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (Q)
|
98% |
228
3.95 IPS |
