MacBook Pro (13-inch, 2022)
Geekbench ML Score
3826
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 01 2024 06:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| 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% |
1363
255.1 IPS |
|
|
Image Classification (F16)
|
100% |
2489
465.7 IPS |
|
|
Image Classification (I8)
|
99% |
2488
465.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
828
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1089
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1028
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6193
7.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
13818
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14202
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1437
107.2 IPS |
|
|
Object Detection (F16)
|
100% |
2478
185.0 IPS |
|
|
Object Detection (I8)
|
97% |
1360
101.5 IPS |
|
|
Face Detection (F32)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (F16)
|
97% |
5456
64.9 IPS |
|
|
Face Detection (I8)
|
97% |
5469
65.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5631
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11657
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11633
90.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18073
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27815
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27960
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4080
145.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4878
174.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4936
176.3 IPS |
|
|
Text Classification (F32)
|
100% |
2015
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3429
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1392
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1596
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1387
25.5 IPS |
