iPhone 13
Geekbench AI Score
2657
Single Precision Score
2778
Half Precision Score
2472
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
984
182.9 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
97% |
512
95.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1956
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9111
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9982
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9300
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
1003
79.5 IPS |
|
|
Object Detection (Q)
|
91% |
778
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
3338
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6715
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6463
49.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6084
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16678
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19046
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18082
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2882
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2826
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2362
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4162
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (HP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (Q)
|
98% |
331
5.73 IPS |
