iPhone 13
Geekbench AI Score
2965
Single Precision Score
3330
Half Precision Score
2914
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 05:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
976
181.5 IPS |
|
|
Image Classification (HP)
|
100% |
917
170.4 IPS |
|
|
Image Classification (Q)
|
96% |
539
100.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2245
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9314
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9651
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (Q)
|
92% |
878
70.1 IPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
4987
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
4116
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6632
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7651
58.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6578
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16738
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19415
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18476
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2864
105.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2621
96.8 IPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4221
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
784
13.5 IPS |
