iPhone 13
Geekbench AI Score
3041
Single Precision Score
5453
Half Precision Score
4379
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 05:46 AM |
| Views | 2 |
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% |
1247
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
2268
421.7 IPS |
|
|
Image Classification (Q)
|
96% |
1605
299.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2271
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5402
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
12803
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10525
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
2570
204.6 IPS |
|
|
Object Detection (Q)
|
94% |
1819
145.0 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
2914
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4945
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10081
77.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6916
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15775
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26094
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20989
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3543
130.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3462
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4125
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6138
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6158
106.4 IPS |
