iPhone 13
Geekbench AI Score
1718
Single Precision Score
12958
Half Precision Score
14235
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | YOUNGMONEY |
| Upload Date | November 16 2025 05:15 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
632
117.5 IPS |
|
|
Image Classification (HP)
|
100% |
6252
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
6848
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9030
146.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10053
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
47464
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
48466
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (HP)
|
99% |
6939
552.0 IPS |
|
|
Object Detection (Q)
|
91% |
7810
624.0 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
14870
176.7 IPS |
|
|
Face Detection (Q)
|
100% |
18778
223.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2613
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38035
293.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
44867
350.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8848
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94403
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
89676
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18369
678.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21781
804.3 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1578
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4468
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5050
87.3 IPS |
