iPhone 13
Geekbench AI Score
3101
Single Precision Score
5403
Half Precision Score
4361
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 05:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
2257
419.7 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2366
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5918
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
12946
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10840
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.4 IPS |
|
|
Object Detection (HP)
|
97% |
2448
194.9 IPS |
|
|
Object Detection (Q)
|
94% |
1803
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5241
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
2909
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5020
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10057
77.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6867
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15901
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26461
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21210
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4749
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4095
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4105
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6020
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6060
104.7 IPS |
