MacBook Pro (13-inch, 2022)
Geekbench ML Score
3844
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 02 2024 07:03 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 | 3.47 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% |
1380
258.3 IPS |
|
|
Image Classification (F16)
|
100% |
2497
467.2 IPS |
|
|
Image Classification (I8)
|
99% |
2497
467.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
853
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1123
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6573
7.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
14328
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13890
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1384
103.3 IPS |
|
|
Object Detection (F16)
|
100% |
2309
172.4 IPS |
|
|
Object Detection (I8)
|
97% |
1400
104.5 IPS |
|
|
Face Detection (F32)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (F16)
|
97% |
5923
70.4 IPS |
|
|
Face Detection (I8)
|
97% |
5893
70.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5496
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11223
87.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11187
86.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17409
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26950
35.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27941
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4195
149.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4873
174.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4957
177.0 IPS |
|
|
Text Classification (F32)
|
100% |
2024
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3322
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3306
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1597
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1400
25.8 IPS |
