iPhone 13
Geekbench AI Score
3207
Single Precision Score
20382
Half Precision Score
23348
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
7880
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
10328
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13410
217.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15810
256.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6149
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
89451
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
95830
112.3 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
11046
878.7 IPS |
|
|
Object Detection (Q)
|
91% |
12300
982.8 IPS |
|
|
Face Detection (SP)
|
100% |
2730
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
28457
338.1 IPS |
|
|
Face Detection (Q)
|
100% |
36209
430.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5205
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58614
451.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
76201
595.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16412
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
166559
214.1 IPS |
|
|
Style Transfer (Q)
|
96% |
153607
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26295
971.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30641
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2589
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7442
128.6 IPS |
