iPhone 13
Geekbench AI Score
3293
Single Precision Score
19265
Half Precision Score
21650
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
7881
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9574
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12513
202.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14000
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
85460
99.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93306
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
10604
843.6 IPS |
|
|
Object Detection (Q)
|
91% |
11298
902.8 IPS |
|
|
Face Detection (SP)
|
100% |
2821
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
25336
301.0 IPS |
|
|
Face Detection (Q)
|
100% |
32965
391.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5466
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52664
405.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
70767
553.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17425
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
154745
198.9 IPS |
|
|
Style Transfer (Q)
|
96% |
154995
200.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27015
997.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27237
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2314
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6148
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7028
121.4 IPS |
