iPhone 13
Geekbench AI Score
3218
Single Precision Score
5665
Half Precision Score
4566
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 06 2025 06:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1353
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.3 IPS |
|
|
Image Classification (Q)
|
96% |
1633
305.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6225
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
14008
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11601
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
2695
214.5 IPS |
|
|
Object Detection (Q)
|
94% |
1878
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5479
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3042
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5230
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10442
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7280
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16770
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27225
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21902
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4705
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3573
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4281
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4257
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6207
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6173
106.7 IPS |
