MacBook Pro (13-inch, 2022)
Geekbench ML Score
3782
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 07:43 PM |
| Views | 4 |
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 | 3.48 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% |
1341
250.8 IPS |
|
|
Image Classification (F16)
|
100% |
2404
449.9 IPS |
|
|
Image Classification (I8)
|
99% |
2331
436.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
797
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1045
17.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1144
19.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5776
6.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
14210
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14356
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1350
100.8 IPS |
|
|
Object Detection (F16)
|
100% |
2283
170.4 IPS |
|
|
Object Detection (I8)
|
97% |
1356
101.3 IPS |
|
|
Face Detection (F32)
|
100% |
2962
35.2 IPS |
|
|
Face Detection (F16)
|
97% |
5801
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5683
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5464
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11026
85.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10543
81.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17069
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28260
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28282
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4084
145.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5036
179.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5038
179.9 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1348
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1563
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1331
24.5 IPS |
