iPhone 13
Geekbench AI Score
3216
Single Precision Score
5618
Half Precision Score
4562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | uRyn |
| Upload Date | April 11 2025 02:56 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2444
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6363
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
14003
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11592
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2643
210.4 IPS |
|
|
Object Detection (Q)
|
94% |
1892
150.8 IPS |
|
|
Face Detection (SP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5410
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3090
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5173
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10433
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7195
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16787
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26821
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21704
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4768
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3555
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4199
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6011
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6223
107.5 IPS |
