iPhone 13
Geekbench AI Score
3238
Single Precision Score
5645
Half Precision Score
4556
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Testify |
| Upload Date | August 30 2025 12:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.0 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6257
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
13866
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11581
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
97% |
2677
213.1 IPS |
|
|
Object Detection (Q)
|
94% |
1888
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5465
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3014
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5295
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10437
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7235
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16849
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26992
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21717
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4748
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3514
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4290
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4261
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6074
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6258
108.1 IPS |
