iPhone 13
Geekbench AI Score
3112
Single Precision Score
5485
Half Precision Score
4406
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 10:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.9 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2372
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6033
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
13403
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11422
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
97% |
2632
209.6 IPS |
|
|
Object Detection (Q)
|
94% |
1846
147.1 IPS |
|
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5388
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
2962
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5323
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10268
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6560
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13838
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23484
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20465
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4600
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4363
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4293
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5799
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5874
101.5 IPS |
