iPhone 11
Geekbench AI Score
1730
Single Precision Score
3155
Half Precision Score
2775
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jlwarlow |
| Upload Date | August 16 2024 06:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
784
145.7 IPS |
|
|
Image Classification (HP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (Q)
|
99% |
1379
257.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1275
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6612
7.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
5855
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.2 IPS |
|
|
Object Detection (HP)
|
97% |
1605
127.8 IPS |
|
|
Object Detection (Q)
|
94% |
1163
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1637
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1859
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3163
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5903
45.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
5907
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7786
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14402
18.5 IPS |
|
|
Style Transfer (Q)
|
100% |
14197
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2094
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2175
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3205
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3186
55.1 IPS |
