iPhone 13
Geekbench AI Score
3110
Single Precision Score
5514
Half Precision Score
4282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 28 2025 11:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
2353
437.6 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2484
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13396
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11304
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
2688
214.0 IPS |
|
|
Object Detection (Q)
|
94% |
1896
151.1 IPS |
|
|
Face Detection (SP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5545
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3019
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5099
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10600
81.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7176
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16294
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25189
32.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20427
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4570
168.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2458
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4054
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5446
94.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5437
94.0 IPS |
