MacBook Pro (13-inch, 2022)
Geekbench ML Score
3738
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 29 2025 06:39 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 | 3.40 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% |
1323
247.6 IPS |
|
|
Image Classification (F16)
|
100% |
1655
309.6 IPS |
|
|
Image Classification (I8)
|
99% |
2054
384.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1174
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1034
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6413
7.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
14092
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14113
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1445
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
2076
155.0 IPS |
|
|
Object Detection (I8)
|
97% |
1468
109.6 IPS |
|
|
Face Detection (F32)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (F16)
|
97% |
5915
70.3 IPS |
|
|
Face Detection (I8)
|
97% |
5861
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4483
34.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11772
91.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11693
90.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18254
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27042
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27245
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4183
149.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5051
180.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5112
182.6 IPS |
|
|
Text Classification (F32)
|
100% |
2041
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3346
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3345
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1343
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1343
24.7 IPS |
