iPhone 13
Geekbench AI Score
3193
Single Precision Score
5615
Half Precision Score
4540
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 10:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2438
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6246
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
13857
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11551
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2705
215.4 IPS |
|
|
Object Detection (Q)
|
94% |
1888
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5419
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3029
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5123
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10357
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7167
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16674
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26916
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21731
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3558
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4198
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4180
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6051
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6153
106.3 IPS |
