iPhone 13
Geekbench AI Score
2971
Single Precision Score
3464
Half Precision Score
3070
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
640
119.0 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.5 IPS |
|
|
Image Classification (Q)
|
96% |
784
146.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2189
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9146
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10251
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9730
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (HP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (Q)
|
92% |
808
64.5 IPS |
|
|
Face Detection (SP)
|
100% |
4450
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4987
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
4284
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7485
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8089
62.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7424
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16528
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19305
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18389
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3934
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2735
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4201
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
838
14.5 IPS |
