iPhone 13
Geekbench AI Score
2329
Single Precision Score
2314
Half Precision Score
835
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:09 AM |
| Views | 1 |
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% |
843
156.7 IPS |
|
|
Image Classification (HP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (Q)
|
97% |
627
116.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1971
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9133
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9935
11.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
8994
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (Q)
|
92% |
779
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
3102
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6369
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6426
49.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16399
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19041
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17992
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2789
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2497
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.4 IPS |
|
|
Text Classification (HP)
|
100% |
352
470.4 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.4 IPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
677
11.7 IPS |
