iPhone 13
Geekbench AI Score
3243
Single Precision Score
5672
Half Precision Score
4607
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 12:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.5 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6145
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
13917
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11594
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
2693
214.4 IPS |
|
|
Object Detection (Q)
|
94% |
1926
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5515
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3092
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5282
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10523
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7329
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16833
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27318
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22088
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3623
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6547
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6597
114.0 IPS |
