iPhone 13
Geekbench AI Score
2540
Single Precision Score
2777
Half Precision Score
2517
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
628
116.8 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (Q)
|
97% |
720
134.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1991
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9281
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9263
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (HP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (Q)
|
91% |
833
66.6 IPS |
|
|
Face Detection (SP)
|
100% |
4176
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
3004
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6240
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6306
48.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6060
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16584
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19123
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18002
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2866
105.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2301
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4062
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
98% |
302
5.21 IPS |
