iPhone 13
Geekbench AI Score
3087
Single Precision Score
5605
Half Precision Score
4563
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | edesattila |
| Upload Date | November 01 2025 05:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
2403
446.9 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2406
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5808
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
13833
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11444
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
97% |
2632
209.5 IPS |
|
|
Object Detection (Q)
|
94% |
1877
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5401
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3039
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5052
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10281
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7252
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16448
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25688
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21411
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3496
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3572
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2550
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4140
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6298
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6560
113.4 IPS |
