iPhone 13
Geekbench AI Score
3093
Single Precision Score
20157
Half Precision Score
23071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 16 2025 03:24 PM |
| Views | 4 |
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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
8967
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
10651
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12930
209.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14538
235.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5661
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
77896
90.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94400
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
11465
912.0 IPS |
|
|
Object Detection (Q)
|
91% |
12192
974.2 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
28510
338.8 IPS |
|
|
Face Detection (Q)
|
100% |
36150
429.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5094
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58011
446.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
77453
605.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15754
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150684
193.7 IPS |
|
|
Style Transfer (Q)
|
96% |
147570
190.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3486
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27967
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29834
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2457
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6424
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7918
136.8 IPS |
