iPhone 13
Geekbench AI Score
3256
Single Precision Score
17045
Half Precision Score
18418
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
9356
1.74 KIPS |
|
|
Image Classification (Q)
|
96% |
10202
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7096
115.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7530
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6182
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
86067
100.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93809
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
99% |
11331
901.4 IPS |
|
|
Object Detection (Q)
|
91% |
11661
931.8 IPS |
|
|
Face Detection (SP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
25252
300.0 IPS |
|
|
Face Detection (Q)
|
100% |
32089
381.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5439
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54838
422.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
75354
588.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16897
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
168815
217.0 IPS |
|
|
Style Transfer (Q)
|
96% |
157009
202.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3839
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27071
999.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28479
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2294
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2197
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2156
37.3 IPS |
