MacBook Pro (13-inch, 2022)
Geekbench ML Score
3906
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 17 2025 06:55 PM |
| Views | 6 |
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 | 3.47 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% |
1374
257.2 IPS |
|
|
Image Classification (F16)
|
100% |
2507
469.2 IPS |
|
|
Image Classification (I8)
|
99% |
2508
469.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1119
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6567
7.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
14261
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14326
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1437
107.3 IPS |
|
|
Object Detection (F16)
|
100% |
2478
185.0 IPS |
|
|
Object Detection (I8)
|
97% |
1433
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (F16)
|
97% |
5779
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5708
67.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5682
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11651
90.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11673
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18059
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27577
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27793
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4186
149.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4992
178.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5014
179.1 IPS |
|
|
Text Classification (F32)
|
100% |
2091
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3542
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3456
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1377
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1646
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1367
25.2 IPS |
