iPhone 13
Geekbench AI Score
2846
Single Precision Score
3089
Half Precision Score
3047
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ocornielje |
| Upload Date | March 27 2025 08:19 PM |
| Views | 12 |
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% |
933
173.5 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.7 IPS |
|
|
Image Classification (Q)
|
96% |
816
152.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2179
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9274
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9756
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
825
65.5 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (Q)
|
92% |
870
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (Q)
|
100% |
3999
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6794
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6643
51.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6726
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16689
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19324
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18791
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2909
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2592
95.7 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4154
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
841
14.5 IPS |
