iPhone 13
Geekbench AI Score
2875
Single Precision Score
3282
Half Precision Score
3029
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
96% |
857
160.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2223
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9166
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10004
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9554
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.2 IPS |
|
|
Object Detection (HP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (Q)
|
92% |
818
65.3 IPS |
|
|
Face Detection (SP)
|
100% |
4406
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
5226
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
4287
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7620
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8050
62.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7255
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16575
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19093
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18011
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2522
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4210
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
735
12.7 IPS |
