iPhone 13
Geekbench AI Score
3068
Single Precision Score
19751
Half Precision Score
22501
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
8463
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
11348
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13013
210.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15520
251.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5536
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
85244
99.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
88690
104.0 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
11734
933.4 IPS |
|
|
Object Detection (Q)
|
91% |
11567
924.2 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
24643
292.8 IPS |
|
|
Face Detection (Q)
|
100% |
34288
407.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5011
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
54565
420.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
66164
517.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15969
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
142516
183.2 IPS |
|
|
Style Transfer (Q)
|
96% |
149737
193.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28600
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28790
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2566
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2425
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6310
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7766
134.2 IPS |
