iPhone 13
Geekbench AI Score
2526
Single Precision Score
2728
Half Precision Score
2395
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
498
92.6 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.0 IPS |
|
|
Image Classification (Q)
|
97% |
534
99.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2022
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9191
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9973
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9186
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (HP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (Q)
|
91% |
598
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
5057
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
3263
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7584
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6276
48.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
5980
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16605
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19146
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17584
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2826
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2341
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4159
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
98% |
314
5.42 IPS |
