iPhone 13
Geekbench AI Score
3084
Single Precision Score
20653
Half Precision Score
22919
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 11 2025 02:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
9248
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
9327
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13436
217.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14085
228.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4949
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
89174
104.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
94260
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
99% |
10668
848.6 IPS |
|
|
Object Detection (Q)
|
91% |
11181
893.4 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28666
340.6 IPS |
|
|
Face Detection (Q)
|
100% |
36266
430.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5039
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58068
447.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
77814
608.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15928
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
167224
215.0 IPS |
|
|
Style Transfer (Q)
|
96% |
176244
227.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3671
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26740
987.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31337
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2476
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2537
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6484
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7307
126.3 IPS |
