iPhone 13
Geekbench AI Score
2924
Single Precision Score
4453
Half Precision Score
3808
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 01:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1773
329.7 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1677
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5686
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13351
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11058
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
97% |
2092
166.5 IPS |
|
|
Object Detection (Q)
|
94% |
1573
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2482
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4704
36.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7796
60.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5790
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15615
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24439
31.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20344
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3349
123.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4541
167.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3430
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3840
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3802
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4254
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4233
73.2 IPS |
