iPhone 13
Geekbench AI Score
3222
Single Precision Score
19968
Half Precision Score
22152
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 06:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
8222
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
11370
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11934
193.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13636
221.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6151
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
80526
94.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
86246
101.1 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
10696
850.9 IPS |
|
|
Object Detection (Q)
|
91% |
11380
909.3 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
28394
337.4 IPS |
|
|
Face Detection (Q)
|
100% |
35881
426.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5138
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
59968
462.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
64209
501.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16749
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
153790
197.7 IPS |
|
|
Style Transfer (Q)
|
96% |
147036
189.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29366
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29713
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2483
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6230
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7483
129.3 IPS |
