MacBook Pro (13-inch, 2022)
Geekbench ML Score
3833
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 02 2025 06:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.29 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% |
1316
246.3 IPS |
|
|
Image Classification (F16)
|
100% |
2389
447.1 IPS |
|
|
Image Classification (I8)
|
99% |
2362
442.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
863
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1134
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1005
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6174
7.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
14250
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14553
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1381
103.1 IPS |
|
|
Object Detection (F16)
|
100% |
2452
183.0 IPS |
|
|
Object Detection (I8)
|
97% |
1416
105.7 IPS |
|
|
Face Detection (F32)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (F16)
|
97% |
5653
67.2 IPS |
|
|
Face Detection (I8)
|
97% |
5273
62.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5482
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11026
85.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11100
86.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17546
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28324
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28463
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4126
147.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5218
186.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5050
180.4 IPS |
|
|
Text Classification (F32)
|
100% |
2134
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3624
5.21 KIPS |
|
|
Text Classification (I8)
|
96% |
3618
5.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1295
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1639
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1324
24.4 IPS |
