iPhone 13
Geekbench AI Score
3276
Single Precision Score
19872
Half Precision Score
22888
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:36 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
8015
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
10656
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13483
218.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16089
260.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6372
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
88166
102.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93745
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
11052
879.2 IPS |
|
|
Object Detection (Q)
|
91% |
11355
907.3 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
23387
277.9 IPS |
|
|
Face Detection (Q)
|
100% |
35554
422.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5354
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
57558
443.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
72252
564.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17113
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
160076
205.8 IPS |
|
|
Style Transfer (Q)
|
96% |
162022
209.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27705
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28384
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2535
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6190
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7221
124.8 IPS |
