MacBook Pro (13-inch, 2022)
Geekbench ML Score
3780
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 08 2024 04:35 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 | 3.30 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% |
1260
235.7 IPS |
|
|
Image Classification (F16)
|
100% |
2319
434.0 IPS |
|
|
Image Classification (I8)
|
99% |
2120
396.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1142
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1032
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6301
7.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
13941
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13481
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1433
107.0 IPS |
|
|
Object Detection (F16)
|
100% |
2469
184.4 IPS |
|
|
Object Detection (I8)
|
97% |
1435
107.2 IPS |
|
|
Face Detection (F32)
|
100% |
3024
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5854
69.6 IPS |
|
|
Face Detection (I8)
|
97% |
5570
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5472
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11565
89.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11599
90.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18083
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27048
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27990
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4099
146.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4991
178.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4969
177.5 IPS |
|
|
Text Classification (F32)
|
100% |
1965
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3254
4.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3328
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1346
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1641
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1335
24.6 IPS |
