iPhone 13
Geekbench AI Score
3126
Single Precision Score
5508
Half Precision Score
4431
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 02 2025 10:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.4 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2285
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5704
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
13028
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10837
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2594
206.5 IPS |
|
|
Object Detection (Q)
|
94% |
1805
143.9 IPS |
|
|
Face Detection (SP)
|
100% |
2664
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5282
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
2969
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5026
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10240
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7073
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16094
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26048
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21608
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4695
173.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3531
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4316
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4206
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5960
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5972
103.2 IPS |
