iPhone 13
Geekbench AI Score
3062
Single Precision Score
5451
Half Precision Score
4351
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
2328
432.9 IPS |
|
|
Image Classification (Q)
|
96% |
1597
298.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2300
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5536
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
12763
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10490
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2549
202.9 IPS |
|
|
Object Detection (Q)
|
94% |
1770
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5212
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
2895
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4990
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10123
78.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6903
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15777
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25961
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20894
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3609
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3398
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4207
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4205
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3417
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5894
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5983
103.4 IPS |
