iPhone 13
Geekbench AI Score
3301
Single Precision Score
20293
Half Precision Score
23365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ocornielje |
| Upload Date | March 27 2025 07:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1304
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
8954
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
11107
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13467
218.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15189
246.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
94938
110.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
95937
112.4 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
99% |
10426
829.4 IPS |
|
|
Object Detection (Q)
|
91% |
11939
954.0 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
28431
337.8 IPS |
|
|
Face Detection (Q)
|
100% |
35473
421.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5384
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55763
429.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
78671
614.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17644
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
161405
207.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171362
221.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3980
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26566
981.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31868
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2344
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6218
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7026
121.4 IPS |
