iPhone 13
Geekbench AI Score
3009
Single Precision Score
18807
Half Precision Score
21356
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | September 30 2025 10:24 AM |
| Views | 5 |
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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
7026
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
9393
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13054
211.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15347
248.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5245
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
79707
93.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
81966
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.6 IPS |
|
|
Object Detection (HP)
|
99% |
10470
832.9 IPS |
|
|
Object Detection (Q)
|
91% |
12195
974.5 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
28361
337.0 IPS |
|
|
Face Detection (Q)
|
100% |
36321
431.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4925
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53485
412.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
70300
549.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15651
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
151783
195.1 IPS |
|
|
Style Transfer (Q)
|
96% |
136290
175.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29809
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27346
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2042
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6249
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7048
121.8 IPS |
