MacBook Pro (13-inch, 2022)
Geekbench ML Score
3615
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 03 2025 05:15 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.10 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% |
1052
196.8 IPS |
|
|
Image Classification (F16)
|
100% |
2215
414.4 IPS |
|
|
Image Classification (I8)
|
99% |
1913
358.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
704
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
975
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1104
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6210
7.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
14065
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14291
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1241
92.7 IPS |
|
|
Object Detection (F16)
|
100% |
2409
179.9 IPS |
|
|
Object Detection (I8)
|
97% |
1267
94.6 IPS |
|
|
Face Detection (F32)
|
100% |
2317
27.6 IPS |
|
|
Face Detection (F16)
|
97% |
5591
66.5 IPS |
|
|
Face Detection (I8)
|
96% |
5618
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5033
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10313
80.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10629
82.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17418
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28093
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27806
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4045
144.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5317
189.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5253
187.6 IPS |
|
|
Text Classification (F32)
|
100% |
2170
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3351
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3186
4.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
1165
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1662
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1259
23.2 IPS |
