iPhone 13
Geekbench AI Score
1418
Single Precision Score
2649
Half Precision Score
2146
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:59 PM |
| Views | 2 |
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% |
525
97.7 IPS |
|
|
Image Classification (HP)
|
100% |
1046
194.5 IPS |
|
|
Image Classification (Q)
|
96% |
718
134.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1119
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2748
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6434
7.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
5574
6.53 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
97% |
1192
94.9 IPS |
|
|
Object Detection (Q)
|
94% |
852
67.9 IPS |
|
|
Face Detection (SP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (Q)
|
100% |
1444
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2354
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4680
36.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3177
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7680
9.87 IPS |
|
|
Style Transfer (HP)
|
100% |
12190
15.7 IPS |
|
|
Style Transfer (Q)
|
96% |
10092
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2192
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1656
61.1 IPS |
|
|
Text Classification (SP)
|
100% |
687
916.7 IPS |
|
|
Text Classification (HP)
|
99% |
2092
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2108
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3287
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3367
58.2 IPS |
