iPhone 13
Geekbench AI Score
2917
Single Precision Score
5395
Half Precision Score
4314
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
2274
422.8 IPS |
|
|
Image Classification (Q)
|
96% |
1598
298.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2246
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4939
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12020
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10290
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
97% |
2519
200.5 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
5198
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
2854
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4774
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10016
77.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6653
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14681
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24907
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20394
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3393
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4207
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6111
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6104
105.5 IPS |
