iPhone 13
Geekbench AI Score
3302
Single Precision Score
20837
Half Precision Score
23531
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Testify |
| Upload Date | August 30 2025 12:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
9328
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10765
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13648
221.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16165
262.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6472
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
89221
104.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
94013
110.2 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
99% |
11141
886.2 IPS |
|
|
Object Detection (Q)
|
91% |
12092
966.2 IPS |
|
|
Face Detection (SP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
28531
339.0 IPS |
|
|
Face Detection (Q)
|
100% |
35681
424.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5406
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56941
438.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
80904
632.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17077
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
160504
206.3 IPS |
|
|
Style Transfer (Q)
|
96% |
171454
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29806
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28319
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2531
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6312
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7418
128.2 IPS |
