iPhone 13
Geekbench AI Score
3087
Single Precision Score
5316
Half Precision Score
4248
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 04:42 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.7 IPS |
|
|
Image Classification (Q)
|
96% |
1618
302.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2293
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5624
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
12530
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10556
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
97% |
2602
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1793
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5054
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
2820
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5016
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10224
79.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6807
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15534
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24389
31.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20212
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3199
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4095
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5333
92.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5386
93.1 IPS |
