MacBook Pro (13-inch, 2022)
Geekbench ML Score
3831
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 14 2025 07:14 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1381
258.4 IPS |
|
|
Image Classification (F16)
|
100% |
2513
470.2 IPS |
|
|
Image Classification (I8)
|
99% |
2493
466.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
861
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1123
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1112
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5825
7.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
14199
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13733
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
2195
163.9 IPS |
|
|
Object Detection (I8)
|
97% |
1450
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
2797
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
5392
64.1 IPS |
|
|
Face Detection (I8)
|
97% |
5803
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5676
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11657
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11714
90.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18033
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28105
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27919
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4164
148.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5042
180.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5069
181.0 IPS |
|
|
Text Classification (F32)
|
100% |
2095
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3473
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1363
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1618
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1237
22.8 IPS |
