MacBook Pro (13-inch, 2022)
Geekbench ML Score
3727
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 28 2025 06:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.32 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% |
1295
242.3 IPS |
|
|
Image Classification (F16)
|
100% |
2333
436.6 IPS |
|
|
Image Classification (I8)
|
99% |
1934
362.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
829
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1103
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
971
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6001
7.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
13482
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14240
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1288
96.2 IPS |
|
|
Object Detection (F16)
|
100% |
2434
181.7 IPS |
|
|
Object Detection (I8)
|
97% |
1408
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
5589
66.5 IPS |
|
|
Face Detection (I8)
|
97% |
5231
62.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5348
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10784
83.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10448
81.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17597
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27927
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27668
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4070
145.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5315
189.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5029
179.6 IPS |
|
|
Text Classification (F32)
|
100% |
2083
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3473
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3370
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1324
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1351
24.9 IPS |
