iPhone 13
Geekbench AI Score
3109
Single Precision Score
5482
Half Precision Score
4433
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 21 2025 06:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1333
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
2335
434.3 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2317
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13036
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10982
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.9 IPS |
|
|
Object Detection (HP)
|
97% |
2558
203.6 IPS |
|
|
Object Detection (Q)
|
94% |
1808
144.1 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5281
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
2977
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5043
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10299
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7030
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16077
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26336
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21274
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4648
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3472
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4221
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4202
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5927
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6021
104.0 IPS |
