iPhone 13
Geekbench AI Score
3227
Single Precision Score
20744
Half Precision Score
23480
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
9131
1.70 KIPS |
|
|
Image Classification (Q)
|
96% |
10695
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13156
213.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14837
240.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6180
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
92431
107.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
96539
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
11040
878.2 IPS |
|
|
Object Detection (Q)
|
91% |
12020
960.4 IPS |
|
|
Face Detection (SP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28449
338.0 IPS |
|
|
Face Detection (Q)
|
100% |
35390
420.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5254
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57258
441.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76685
599.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16927
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
155585
200.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171453
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28481
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30620
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2570
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6618
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7555
130.6 IPS |
