iPhone 13
Geekbench AI Score
3180
Single Precision Score
20472
Half Precision Score
22578
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1275
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
8913
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
10644
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13413
217.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15721
254.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5892
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
86239
100.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
86516
101.4 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
11054
879.4 IPS |
|
|
Object Detection (Q)
|
91% |
11924
952.8 IPS |
|
|
Face Detection (SP)
|
100% |
2758
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
28231
335.4 IPS |
|
|
Face Detection (Q)
|
100% |
36135
429.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5222
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
57590
443.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
65019
508.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16944
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
151240
194.4 IPS |
|
|
Style Transfer (Q)
|
96% |
149898
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29752
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28509
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2594
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2452
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6381
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8100
140.0 IPS |
