iPhone 13
Geekbench AI Score
3139
Single Precision Score
20149
Half Precision Score
22670
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 11:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
7484
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
10941
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13626
220.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14971
242.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5734
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
82366
96.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
94071
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
11139
886.1 IPS |
|
|
Object Detection (Q)
|
91% |
11834
945.6 IPS |
|
|
Face Detection (SP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
28307
336.4 IPS |
|
|
Face Detection (Q)
|
100% |
36851
437.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5139
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58144
448.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
69976
546.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16599
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
151448
194.7 IPS |
|
|
Style Transfer (Q)
|
96% |
148837
192.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3569
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29609
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28483
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6342
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7278
125.8 IPS |
