iPhone 13
Geekbench AI Score
1563
Single Precision Score
2646
Half Precision Score
2120
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 02:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
1033
192.1 IPS |
|
|
Image Classification (Q)
|
96% |
718
134.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1121
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2952
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
5514
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
97% |
1209
96.3 IPS |
|
|
Object Detection (Q)
|
94% |
845
67.4 IPS |
|
|
Face Detection (SP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (Q)
|
100% |
1443
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2413
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4539
35.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
3169
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7916
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12473
16.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10249
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2292
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1651
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (Q)
|
93% |
1989
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3183
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3183
55.0 IPS |
