iPhone 13
Geekbench AI Score
1577
Single Precision Score
2661
Half Precision Score
2139
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 09:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
1054
196.0 IPS |
|
|
Image Classification (Q)
|
96% |
718
134.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1122
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
5520
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (HP)
|
97% |
1196
95.2 IPS |
|
|
Object Detection (Q)
|
94% |
851
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
1598
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (Q)
|
100% |
1451
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2395
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4673
36.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
3187
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7937
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12522
16.1 IPS |
|
|
Style Transfer (Q)
|
96% |
10312
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1658
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
1179
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2064
2.75 KIPS |
|
|
Text Classification (Q)
|
93% |
2076
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3230
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3229
55.8 IPS |
