iPhone 13
Geekbench ML Score
2483
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 05:21 PM |
| Views | 1 |
System Information
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
666
124.6 IPS |
|
|
Image Classification (F16)
|
100% |
554
103.7 IPS |
|
|
Image Classification (I8)
|
99% |
673
125.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1132
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1181
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1145
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8744
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
9789
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
9451
11.4 IPS |
|
|
Object Detection (F32)
|
100% |
1181
88.2 IPS |
|
|
Object Detection (F16)
|
100% |
1028
76.8 IPS |
|
|
Object Detection (I8)
|
97% |
1067
79.7 IPS |
|
|
Face Detection (F32)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (F16)
|
98% |
4513
53.7 IPS |
|
|
Face Detection (I8)
|
97% |
4749
56.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7639
59.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5717
44.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
5838
45.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15746
20.7 IPS |
|
|
Style Transfer (F16)
|
100% |
19494
25.6 IPS |
|
|
Style Transfer (I8)
|
100% |
18666
24.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3063
109.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3110
111.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3069
109.6 IPS |
|
|
Text Classification (F32)
|
100% |
2186
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3658
5.26 KIPS |
|
|
Text Classification (I8)
|
96% |
3654
5.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
272
5.00 IPS |
|
|
Machine Translation (F16)
|
100% |
269
4.95 IPS |
|
|
Machine Translation (I8)
|
99% |
248
4.56 IPS |
