iPhone 13
Geekbench AI Score
3323
Single Precision Score
20562
Half Precision Score
23080
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | March 12 2025 01:26 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
9245
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
10297
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12635
204.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14387
233.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
88437
103.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
94414
110.7 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.7 IPS |
|
|
Object Detection (HP)
|
99% |
10702
851.3 IPS |
|
|
Object Detection (Q)
|
91% |
12260
979.6 IPS |
|
|
Face Detection (SP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
27686
329.0 IPS |
|
|
Face Detection (Q)
|
100% |
33622
399.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5482
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56093
432.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
80397
628.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17791
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
161812
208.0 IPS |
|
|
Style Transfer (Q)
|
96% |
162620
209.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29503
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29790
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2461
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2482
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6694
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7698
133.0 IPS |
