iPhone 13
Geekbench AI Score
2806
Single Precision Score
19972
Half Precision Score
22283
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 10:23 AM |
| Views | 2 |
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% |
1177
218.8 IPS |
|
|
Image Classification (HP)
|
100% |
7339
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
10498
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13522
219.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15048
243.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4786
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
78973
92.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
81097
95.1 IPS |
|
|
Object Detection (SP)
|
100% |
1157
91.7 IPS |
|
|
Object Detection (HP)
|
99% |
11235
893.7 IPS |
|
|
Object Detection (Q)
|
91% |
12513
999.8 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
28493
338.6 IPS |
|
|
Face Detection (Q)
|
100% |
36327
431.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4678
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57924
446.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
71263
556.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14812
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152312
195.8 IPS |
|
|
Style Transfer (Q)
|
96% |
146705
189.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3271
120.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29650
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28832
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2258
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6190
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7615
131.6 IPS |
