iPhone 13
Geekbench AI Score
3312
Single Precision Score
16776
Half Precision Score
19106
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
8854
1.65 KIPS |
|
|
Image Classification (Q)
|
96% |
10520
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7051
114.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8307
134.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6547
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
85573
99.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94363
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
99% |
11051
879.1 IPS |
|
|
Object Detection (Q)
|
91% |
12144
970.4 IPS |
|
|
Face Detection (SP)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
25831
306.9 IPS |
|
|
Face Detection (Q)
|
100% |
35097
417.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5484
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53799
414.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
76203
595.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17507
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
155681
200.1 IPS |
|
|
Style Transfer (Q)
|
96% |
157583
203.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3894
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26790
989.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29160
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2416
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2359
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2233
38.6 IPS |
