iPhone 13
Geekbench AI Score
3152
Single Precision Score
18992
Half Precision Score
21963
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 04:05 PM |
| Views | 1 |
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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
8041
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
9116
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12234
198.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13956
226.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5665
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
85858
100.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
94758
111.1 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
10376
825.4 IPS |
|
|
Object Detection (Q)
|
91% |
11676
932.9 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
26006
309.0 IPS |
|
|
Face Detection (Q)
|
100% |
34937
415.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5134
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
53759
414.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
73002
570.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16501
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159081
204.5 IPS |
|
|
Style Transfer (Q)
|
96% |
152680
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26064
962.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28174
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (Q)
|
93% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6146
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7298
126.1 IPS |
