iPhone 13
Geekbench AI Score
1572
Single Precision Score
2653
Half Precision Score
2132
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 09:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
588
109.4 IPS |
|
|
Image Classification (HP)
|
100% |
1049
195.1 IPS |
|
|
Image Classification (Q)
|
96% |
725
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1123
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2956
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
5495
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (HP)
|
97% |
1193
95.0 IPS |
|
|
Object Detection (Q)
|
94% |
849
67.7 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (Q)
|
100% |
1444
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2376
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4567
35.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3189
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7922
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12484
16.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10288
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2314
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1657
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2032
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3208
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3205
55.4 IPS |
