iPhone 13
Geekbench AI Score
3223
Single Precision Score
19684
Half Precision Score
21787
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
8314
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
9864
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12544
203.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13680
221.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6003
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
85639
99.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93604
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (HP)
|
99% |
10712
852.1 IPS |
|
|
Object Detection (Q)
|
91% |
11005
879.4 IPS |
|
|
Face Detection (SP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
26483
314.7 IPS |
|
|
Face Detection (Q)
|
100% |
33326
396.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5300
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55676
428.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
73961
578.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17017
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
156753
201.5 IPS |
|
|
Style Transfer (Q)
|
96% |
156337
201.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26725
986.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28842
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2158
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7230
124.9 IPS |
