iPhone 13
Geekbench AI Score
3188
Single Precision Score
20361
Half Precision Score
23733
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 11:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
7870
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
11656
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13462
218.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15862
257.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5758
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
87099
101.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
95040
111.4 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
11442
910.2 IPS |
|
|
Object Detection (Q)
|
91% |
12406
991.3 IPS |
|
|
Face Detection (SP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
28918
343.6 IPS |
|
|
Face Detection (Q)
|
100% |
36401
432.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5206
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56373
434.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
71489
558.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16572
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165890
213.3 IPS |
|
|
Style Transfer (Q)
|
96% |
171253
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26737
987.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31033
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2468
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6537
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7620
131.7 IPS |
