MacBook Pro (13-inch, 2022)
Geekbench ML Score
3908
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 15 2025 05:48 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.46 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% |
1376
257.4 IPS |
|
|
Image Classification (F16)
|
100% |
2497
467.3 IPS |
|
|
Image Classification (I8)
|
99% |
2505
468.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1125
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1174
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6612
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
14375
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13946
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1465
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
2485
185.5 IPS |
|
|
Object Detection (I8)
|
97% |
1456
108.7 IPS |
|
|
Face Detection (F32)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (F16)
|
97% |
5899
70.1 IPS |
|
|
Face Detection (I8)
|
97% |
5758
68.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5712
44.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11782
91.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11672
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18342
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26712
35.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27944
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4201
150.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5069
181.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5068
181.0 IPS |
|
|
Text Classification (F32)
|
100% |
2072
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3435
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3496
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1247
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1620
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1365
25.1 IPS |
