iPhone 13
Geekbench AI Score
3236
Single Precision Score
20320
Half Precision Score
22860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1353
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
8943
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
9244
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13044
211.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14894
241.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6230
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
88728
103.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
95486
111.9 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
10595
842.8 IPS |
|
|
Object Detection (Q)
|
91% |
11336
905.8 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
28461
338.2 IPS |
|
|
Face Detection (Q)
|
100% |
36265
430.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5309
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54740
421.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
74292
580.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16751
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
159813
205.4 IPS |
|
|
Style Transfer (Q)
|
96% |
168731
217.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27800
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31763
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2406
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6483
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7528
130.1 IPS |
