iPhone 13
Geekbench AI Score
2522
Single Precision Score
2723
Half Precision Score
2527
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | suvash |
| Upload Date | April 23 2025 12:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
527
98.0 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.3 IPS |
|
|
Image Classification (Q)
|
97% |
714
133.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1899
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9279
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9292
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
868
68.8 IPS |
|
|
Object Detection (Q)
|
91% |
772
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
4131
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
3704
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
3300
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6668
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7537
58.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6143
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16647
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19003
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17653
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3067
113.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2300
84.9 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4167
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
98% |
319
5.52 IPS |
