iPhone 13
Geekbench AI Score
2655
Single Precision Score
2762
Half Precision Score
2635
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 02:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
978
181.8 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (Q)
|
97% |
699
130.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1985
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9296
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9312
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
966
76.6 IPS |
|
|
Object Detection (Q)
|
91% |
1295
103.5 IPS |
|
|
Face Detection (SP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (Q)
|
100% |
3325
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6563
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6510
50.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
5965
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16699
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19101
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17735
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2912
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2818
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2337
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
2416
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (Q)
|
98% |
289
4.99 IPS |
