MacBook Pro (13-inch, 2022)
Geekbench ML Score
3823
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 23 2024 06:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 3.45 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% |
1340
250.8 IPS |
|
|
Image Classification (F16)
|
100% |
2403
449.6 IPS |
|
|
Image Classification (I8)
|
99% |
2382
445.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
781
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1099
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1128
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6294
7.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
13996
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13948
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1362
101.7 IPS |
|
|
Object Detection (F16)
|
100% |
2323
173.4 IPS |
|
|
Object Detection (I8)
|
97% |
1375
102.7 IPS |
|
|
Face Detection (F32)
|
100% |
3075
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
6002
71.4 IPS |
|
|
Face Detection (I8)
|
97% |
5915
70.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5655
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11255
87.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11408
88.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18198
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27898
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28007
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4117
147.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4844
173.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4939
176.4 IPS |
|
|
Text Classification (F32)
|
100% |
2014
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3306
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3339
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1578
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1388
25.5 IPS |
