iPhone 13
Geekbench AI Score
2976
Single Precision Score
3290
Half Precision Score
2930
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | uRyn |
| Upload Date | April 11 2025 03:00 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% |
942
175.2 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
96% |
538
100.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2201
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9294
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10035
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9692
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (HP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (Q)
|
92% |
867
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
4111
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6795
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6660
51.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6492
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16744
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19397
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18828
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2947
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2560
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
2461
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4304
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
869
15.0 IPS |
