iPhone 13
Geekbench AI Score
3110
Single Precision Score
18404
Half Precision Score
21652
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 08:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
7757
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
10317
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12223
198.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15741
255.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5635
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
76332
89.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
81859
95.9 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
10619
844.8 IPS |
|
|
Object Detection (Q)
|
91% |
12111
967.7 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
28278
336.0 IPS |
|
|
Face Detection (Q)
|
100% |
36072
428.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5088
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53743
414.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
75549
590.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16568
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
143204
184.1 IPS |
|
|
Style Transfer (Q)
|
96% |
142504
183.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3533
130.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27561
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28433
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (Q)
|
93% |
1820
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6270
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
