iPhone 13
Geekbench AI Score
3279
Single Precision Score
19201
Half Precision Score
21249
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
9445
1.76 KIPS |
|
|
Image Classification (Q)
|
96% |
9482
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12031
195.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13840
224.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6282
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
85818
100.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
94157
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
99% |
10665
848.4 IPS |
|
|
Object Detection (Q)
|
91% |
11309
903.6 IPS |
|
|
Face Detection (SP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
29001
344.6 IPS |
|
|
Face Detection (Q)
|
100% |
31620
375.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52449
404.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76280
596.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17245
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
154529
198.6 IPS |
|
|
Style Transfer (Q)
|
96% |
152793
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26512
979.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28076
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2302
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5641
97.5 IPS |
