iPhone 13
Geekbench AI Score
3234
Single Precision Score
5661
Half Precision Score
4595
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 12:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
96% |
1619
302.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6248
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
14242
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11672
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2699
214.9 IPS |
|
|
Object Detection (Q)
|
94% |
1892
150.8 IPS |
|
|
Face Detection (SP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5474
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3086
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5274
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10300
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7328
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16994
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26987
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22138
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3581
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4289
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4272
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6150
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6333
109.4 IPS |
