iPhone 13
Geekbench AI Score
2888
Single Precision Score
3378
Half Precision Score
2982
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:09 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% |
614
114.3 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (Q)
|
96% |
732
136.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2209
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9208
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9503
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1205
95.6 IPS |
|
|
Object Detection (HP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (Q)
|
92% |
774
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
4964
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
4250
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7582
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8026
61.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7322
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16486
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19088
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18074
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2867
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2828
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2696
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
738
12.8 IPS |
