iPhone 13
Geekbench AI Score
3239
Single Precision Score
19715
Half Precision Score
22586
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:22 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
8023
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
9679
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13429
217.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16347
265.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6189
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
89809
104.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93643
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
99% |
10304
819.6 IPS |
|
|
Object Detection (Q)
|
91% |
12167
972.2 IPS |
|
|
Face Detection (SP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
28878
343.1 IPS |
|
|
Face Detection (Q)
|
100% |
36036
428.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5233
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55323
426.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
73174
571.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16780
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
168170
216.2 IPS |
|
|
Style Transfer (Q)
|
96% |
153541
198.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3774
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26758
988.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27534
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (Q)
|
93% |
2371
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3669
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6188
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7253
125.3 IPS |
