iPhone 13
Geekbench AI Score
2898
Single Precision Score
3054
Half Precision Score
3065
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 01:17 PM |
| Views | 2 |
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% |
659
122.6 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (Q)
|
96% |
906
169.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2237
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9308
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10411
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9938
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (Q)
|
92% |
864
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (Q)
|
100% |
3964
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6560
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6637
51.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6207
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16683
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19362
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18721
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2976
109.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2605
96.2 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4072
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
863
14.9 IPS |
