MacBook Pro (13-inch, 2022)
Geekbench ML Score
3718
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 07:14 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.30 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% |
956
179.0 IPS |
|
|
Image Classification (F16)
|
100% |
2309
432.0 IPS |
|
|
Image Classification (I8)
|
99% |
2370
443.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
678
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1112
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
993
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5833
7.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
14054
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14087
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1321
98.6 IPS |
|
|
Object Detection (F16)
|
100% |
2443
182.3 IPS |
|
|
Object Detection (I8)
|
97% |
1290
96.3 IPS |
|
|
Face Detection (F32)
|
100% |
3007
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5888
70.0 IPS |
|
|
Face Detection (I8)
|
96% |
5881
69.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5308
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10911
84.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11075
85.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17635
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27269
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27218
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3933
140.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5171
184.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5215
186.2 IPS |
|
|
Text Classification (F32)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3377
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3400
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1345
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1692
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1331
24.5 IPS |
