iPhone 13
Geekbench AI Score
3008
Single Precision Score
20239
Half Precision Score
22982
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Admire |
| Upload Date | September 08 2025 09:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
7886
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8554
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12026
194.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15054
244.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5495
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
90486
105.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
93721
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
10943
870.5 IPS |
|
|
Object Detection (Q)
|
91% |
12566
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
28810
342.3 IPS |
|
|
Face Detection (Q)
|
100% |
36261
430.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5062
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55137
424.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
81073
633.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15131
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151924
195.3 IPS |
|
|
Style Transfer (Q)
|
96% |
167892
216.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29222
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30602
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2402
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6721
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7472
129.1 IPS |
