iPhone 13
Geekbench AI Score
2571
Single Precision Score
3081
Half Precision Score
2859
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 05:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
1156
214.9 IPS |
|
|
Image Classification (Q)
|
96% |
1073
200.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1943
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
5489
6.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
5416
6.34 IPS |
|
|
Object Detection (SP)
|
100% |
1062
84.2 IPS |
|
|
Object Detection (HP)
|
100% |
1232
97.8 IPS |
|
|
Object Detection (Q)
|
92% |
1122
89.6 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
2559
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4764
36.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4497
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9774
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10107
13.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10665
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3958
146.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3736
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3532
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1780
30.8 IPS |
