iPhone 13
Geekbench AI Score
1573
Single Precision Score
2651
Half Precision Score
2136
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
564
104.9 IPS |
|
|
Image Classification (HP)
|
100% |
1034
192.2 IPS |
|
|
Image Classification (Q)
|
96% |
727
135.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1116
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2963
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
5475
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
97% |
1184
94.3 IPS |
|
|
Object Detection (Q)
|
94% |
846
67.4 IPS |
|
|
Face Detection (SP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (Q)
|
100% |
1447
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2299
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4550
35.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3178
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7922
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12479
16.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10276
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1645
60.8 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2061
2.75 KIPS |
|
|
Text Classification (Q)
|
93% |
2046
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3335
57.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3320
57.4 IPS |
