MacBook Pro (13-inch, 2022)
Geekbench ML Score
3536
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2025 07:39 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.29 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% |
1055
197.4 IPS |
|
|
Image Classification (F16)
|
100% |
2036
380.9 IPS |
|
|
Image Classification (I8)
|
99% |
2004
375.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
705
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
941
15.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1015
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6527
7.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
13827
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13702
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1356
101.2 IPS |
|
|
Object Detection (F16)
|
100% |
2369
176.9 IPS |
|
|
Object Detection (I8)
|
97% |
1407
105.0 IPS |
|
|
Face Detection (F32)
|
100% |
2848
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
5413
64.4 IPS |
|
|
Face Detection (I8)
|
97% |
5604
66.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5593
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10878
84.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10853
84.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18112
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26176
34.4 IPS |
|
|
Style Transfer (I8)
|
100% |
21229
27.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3336
119.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3985
142.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5061
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
2075
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3519
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3525
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1445
26.6 IPS |
|
|
Machine Translation (I8)
|
99% |
941
17.3 IPS |
