iPhone 13
Geekbench AI Score
3123
Single Precision Score
19632
Half Precision Score
22320
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Seele |
| Upload Date | July 23 2025 01:46 AM |
| Views | 10 |
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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
8971
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
10682
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13013
210.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14336
232.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5778
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
79999
93.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
85820
100.6 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.7 IPS |
|
|
Object Detection (HP)
|
99% |
11149
886.9 IPS |
|
|
Object Detection (Q)
|
91% |
12318
984.3 IPS |
|
|
Face Detection (SP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
28465
338.2 IPS |
|
|
Face Detection (Q)
|
100% |
36245
430.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5042
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57959
446.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
69813
545.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15573
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
143284
184.2 IPS |
|
|
Style Transfer (Q)
|
96% |
140866
181.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29481
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28785
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2550
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6533
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7248
125.3 IPS |
