MacBook Pro (13-inch, 2022)
Geekbench ML Score
3661
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 05 2025 06:54 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.05 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% |
918
171.9 IPS |
|
|
Image Classification (F16)
|
100% |
1973
369.2 IPS |
|
|
Image Classification (I8)
|
99% |
1959
366.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
732
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1040
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1121
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6268
7.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
14255
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13857
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1335
99.7 IPS |
|
|
Object Detection (F16)
|
100% |
2417
180.4 IPS |
|
|
Object Detection (I8)
|
97% |
1356
101.2 IPS |
|
|
Face Detection (F32)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5686
67.6 IPS |
|
|
Face Detection (I8)
|
97% |
5570
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5318
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10774
83.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10859
84.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17657
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27712
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27821
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4099
146.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5190
185.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5183
185.1 IPS |
|
|
Text Classification (F32)
|
100% |
2141
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3521
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3491
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1112
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1499
27.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1308
24.1 IPS |
