iPhone 13
Geekbench AI Score
3221
Single Precision Score
5548
Half Precision Score
4473
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (Q)
|
96% |
1617
301.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2442
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6096
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
13386
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11319
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2663
212.0 IPS |
|
|
Object Detection (Q)
|
94% |
1871
149.2 IPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5561
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3092
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5288
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10943
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7381
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16948
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26144
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21504
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4550
168.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3409
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4109
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5589
96.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5607
96.9 IPS |
