iPhone 13
Geekbench AI Score
2307
Single Precision Score
2500
Half Precision Score
799
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | black_michael |
| Upload Date | December 08 2024 06:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1077
200.3 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.3 IPS |
|
|
Image Classification (Q)
|
97% |
536
100.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2000
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9271
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10143
11.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
9344
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
826
65.5 IPS |
|
|
Object Detection (HP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (Q)
|
92% |
648
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
4675
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
3011
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6864
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8197
63.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16532
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19165
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17720
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2837
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2868
105.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2353
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
351
467.9 IPS |
|
|
Text Classification (HP)
|
100% |
352
470.4 IPS |
|
|
Text Classification (Q)
|
93% |
202
270.7 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
650
11.2 IPS |
