iPhone 13
Geekbench AI Score
3041
Single Precision Score
5589
Half Precision Score
4521
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 01:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1255
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
2403
447.0 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2405
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5670
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13810
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11387
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
97% |
2654
211.3 IPS |
|
|
Object Detection (Q)
|
94% |
1862
148.5 IPS |
|
|
Face Detection (SP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3011
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4950
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10350
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7147
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16237
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25344
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20738
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3467
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4678
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3530
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4181
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4197
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6333
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6361
109.9 IPS |
