iPhone 13
Geekbench AI Score
3120
Single Precision Score
19847
Half Precision Score
22520
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | edesattila |
| Upload Date | February 28 2026 09:47 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
8710
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
10983
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11896
192.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14897
241.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5990
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
80637
94.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
88182
103.4 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
99% |
11291
898.2 IPS |
|
|
Object Detection (Q)
|
91% |
12657
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
28327
336.6 IPS |
|
|
Face Detection (Q)
|
100% |
36537
434.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5106
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
53679
413.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
70585
551.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16215
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
149868
192.7 IPS |
|
|
Style Transfer (Q)
|
96% |
143341
185.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3559
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29152
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28676
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2547
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2421
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6258
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7161
123.8 IPS |
