iPhone 13
Geekbench AI Score
3014
Single Precision Score
5223
Half Precision Score
4267
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | gooooel |
| Upload Date | August 09 2025 11:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (Q)
|
96% |
1532
286.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2215
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4930
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
11559
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9910
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (HP)
|
97% |
2470
196.6 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
2928
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5069
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10238
79.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6941
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15673
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25538
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20951
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3571
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4146
153.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3390
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5846
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5832
100.8 IPS |
