iPhone 13
Geekbench AI Score
2799
Single Precision Score
3090
Half Precision Score
3029
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 09 2025 01:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
667
124.0 IPS |
|
|
Image Classification (HP)
|
100% |
898
167.0 IPS |
|
|
Image Classification (Q)
|
96% |
844
157.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2203
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9251
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9677
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1111
88.1 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.6 IPS |
|
|
Object Detection (Q)
|
92% |
889
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
3539
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6577
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6489
50.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7086
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16746
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19377
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18892
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2842
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2745
101.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2473
91.3 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4162
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
743
12.8 IPS |
