iPhone 13
Geekbench AI Score
3037
Single Precision Score
5422
Half Precision Score
4332
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 08 2025 08:36 AM |
| 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% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (Q)
|
96% |
1607
300.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2280
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5306
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
12540
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10519
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2551
203.1 IPS |
|
|
Object Detection (Q)
|
94% |
1817
144.8 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5152
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
2710
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4895
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9899
76.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6853
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15483
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25788
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21033
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3405
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4316
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4305
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5842
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5816
100.5 IPS |
