MacBook Pro (13-inch, 2022)
Geekbench ML Score
3849
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 10 2024 04:13 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1358
254.1 IPS |
|
|
Image Classification (F16)
|
100% |
2404
449.8 IPS |
|
|
Image Classification (I8)
|
99% |
2400
449.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1150
19.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1157
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6384
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
13984
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13964
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1401
104.6 IPS |
|
|
Object Detection (F16)
|
100% |
2326
173.7 IPS |
|
|
Object Detection (I8)
|
97% |
1443
107.7 IPS |
|
|
Face Detection (F32)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5779
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5901
70.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5528
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11350
88.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11266
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
18233
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28277
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27879
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4094
146.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4813
171.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5011
179.0 IPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3439
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3437
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1570
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1382
25.4 IPS |
