iPhone 13
Geekbench AI Score
2873
Single Precision Score
3242
Half Precision Score
3063
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:12 PM |
| Views | 4 |
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% |
646
120.2 IPS |
|
|
Image Classification (HP)
|
100% |
907
168.7 IPS |
|
|
Image Classification (Q)
|
96% |
835
156.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2207
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9149
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10116
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9481
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (HP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (Q)
|
92% |
820
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4475
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
4289
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7566
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7970
61.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7288
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16430
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19063
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18065
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2938
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2845
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2493
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4190
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
864
14.9 IPS |
