MacBook Pro (13-inch, 2022)
Geekbench ML Score
3814
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 12 2024 04:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| 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% |
1326
248.2 IPS |
|
|
Image Classification (F16)
|
100% |
2496
467.2 IPS |
|
|
Image Classification (I8)
|
99% |
2496
467.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
822
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1062
17.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1107
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6492
7.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
14043
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14119
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1424
106.3 IPS |
|
|
Object Detection (F16)
|
100% |
2463
183.9 IPS |
|
|
Object Detection (I8)
|
97% |
1373
102.5 IPS |
|
|
Face Detection (F32)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
5540
65.9 IPS |
|
|
Face Detection (I8)
|
97% |
5780
68.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5645
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10939
84.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11316
87.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18142
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28039
36.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27834
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4104
146.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4895
174.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4731
169.0 IPS |
|
|
Text Classification (F32)
|
100% |
1993
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3169
4.55 KIPS |
|
|
Text Classification (I8)
|
96% |
3515
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1296
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1627
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1371
25.2 IPS |
