MacBook Pro (13-inch, 2022)
Geekbench ML Score
3817
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 18 2024 05:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1375
257.4 IPS |
|
|
Image Classification (F16)
|
100% |
2172
406.4 IPS |
|
|
Image Classification (I8)
|
99% |
2417
452.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
808
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1015
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1153
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6481
7.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
14230
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13627
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
1386
103.5 IPS |
|
|
Object Detection (F16)
|
100% |
2317
173.0 IPS |
|
|
Object Detection (I8)
|
97% |
1388
103.7 IPS |
|
|
Face Detection (F32)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5856
69.6 IPS |
|
|
Face Detection (I8)
|
97% |
5942
70.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5669
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11672
90.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11553
89.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17369
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27228
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27881
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4203
150.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4961
177.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4806
171.6 IPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3354
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3354
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1338
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1633
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1375
25.3 IPS |
