iPhone 13
Geekbench AI Score
3109
Single Precision Score
5397
Half Precision Score
4350
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 07:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1326
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
2339
434.9 IPS |
|
|
Image Classification (Q)
|
96% |
1613
301.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2382
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5605
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
12566
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10478
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2602
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1846
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2652
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5421
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
2986
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5074
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10452
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7238
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16239
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25339
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20899
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4450
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3276
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4121
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3335
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5388
93.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5378
92.9 IPS |
