iPhone 13
Geekbench AI Score
3240
Single Precision Score
5603
Half Precision Score
4512
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | suvash |
| Upload Date | April 23 2025 12:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.7 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2489
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6288
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
13635
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11305
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
2691
214.2 IPS |
|
|
Object Detection (Q)
|
94% |
1904
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5609
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5315
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10945
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7437
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17077
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26439
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21672
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4613
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3453
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5687
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5609
96.9 IPS |
