MacBook Pro (13-inch, 2022)
Geekbench ML Score
3874
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 10 2025 06:23 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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
258.2 IPS |
|
|
Image Classification (F16)
|
100% |
2481
464.3 IPS |
|
|
Image Classification (I8)
|
99% |
2496
467.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1100
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1106
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6333
7.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
14481
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14497
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1429
106.7 IPS |
|
|
Object Detection (F16)
|
100% |
2423
180.9 IPS |
|
|
Object Detection (I8)
|
97% |
1425
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5694
67.7 IPS |
|
|
Face Detection (I8)
|
97% |
5679
67.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5561
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11051
85.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11027
85.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17931
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28390
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28505
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4036
144.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5156
184.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5182
185.1 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3402
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1366
25.1 IPS |
