iPhone 13
Geekbench AI Score
3188
Single Precision Score
5581
Half Precision Score
4535
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2401
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6065
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
13790
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11457
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
97% |
2603
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1903
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5307
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3028
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5179
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10314
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7210
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16523
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26502
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21439
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4281
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6218
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6083
105.1 IPS |
