iPhone 13
Geekbench AI Score
3154
Single Precision Score
20202
Half Precision Score
23094
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 10:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
8328
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
10625
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13190
213.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15143
245.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5919
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
93010
108.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
96292
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
11029
877.3 IPS |
|
|
Object Detection (Q)
|
91% |
11952
955.0 IPS |
|
|
Face Detection (SP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
28540
339.1 IPS |
|
|
Face Detection (Q)
|
100% |
36583
434.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5096
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55243
425.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
77015
601.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15739
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
158898
204.3 IPS |
|
|
Style Transfer (Q)
|
96% |
159600
206.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3700
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26509
978.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28725
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2536
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6379
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7117
123.0 IPS |
