MacBook Pro (13-inch, 2022)
Geekbench ML Score
3926
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 21 2024 05:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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 | 3.48 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% |
1370
256.3 IPS |
|
|
Image Classification (F16)
|
100% |
2493
466.6 IPS |
|
|
Image Classification (I8)
|
99% |
2496
467.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
877
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1146
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1154
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6610
8.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
14228
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14212
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1458
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
2471
184.5 IPS |
|
|
Object Detection (I8)
|
97% |
1465
109.4 IPS |
|
|
Face Detection (F32)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
5954
70.8 IPS |
|
|
Face Detection (I8)
|
97% |
5937
70.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5668
44.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11691
90.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11685
90.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18409
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27983
36.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27800
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4200
150.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5025
179.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5029
179.6 IPS |
|
|
Text Classification (F32)
|
100% |
2031
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3358
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3362
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1389
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1655
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1391
25.6 IPS |
