iPhone 13
Geekbench AI Score
3204
Single Precision Score
5625
Half Precision Score
4532
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 06:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2400
446.3 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6072
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
13814
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11514
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2634
209.7 IPS |
|
|
Object Detection (Q)
|
94% |
1846
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5427
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
2946
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5115
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10327
79.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7148
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16317
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26523
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21498
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3554
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4209
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3650
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6278
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6379
110.2 IPS |
