iPhone 13
Geekbench AI Score
3034
Single Precision Score
18140
Half Precision Score
19798
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 05:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
7645
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
9229
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13354
216.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14529
235.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5766
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
79188
92.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
68089
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.6 IPS |
|
|
Object Detection (HP)
|
99% |
10196
811.1 IPS |
|
|
Object Detection (Q)
|
91% |
11745
938.5 IPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
25214
299.6 IPS |
|
|
Face Detection (Q)
|
100% |
36239
430.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5034
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50744
390.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
66831
522.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15615
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
160157
205.9 IPS |
|
|
Style Transfer (Q)
|
96% |
135372
174.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3650
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28698
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30500
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (Q)
|
93% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7185
124.2 IPS |
