MacBook Pro (13-inch, 2022)
Geekbench ML Score
3137
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 06 2025 07:10 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.45 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% |
1191
222.8 IPS |
|
|
Image Classification (F16)
|
100% |
1886
353.0 IPS |
|
|
Image Classification (I8)
|
99% |
1710
319.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
570
9.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
817
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
835
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4099
4.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
12075
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11195
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
1138
84.9 IPS |
|
|
Object Detection (F16)
|
100% |
2005
149.7 IPS |
|
|
Object Detection (I8)
|
97% |
1161
86.6 IPS |
|
|
Face Detection (F32)
|
100% |
2739
32.6 IPS |
|
|
Face Detection (F16)
|
97% |
5311
63.2 IPS |
|
|
Face Detection (I8)
|
96% |
5190
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4390
34.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9258
71.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9709
75.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16469
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25813
34.0 IPS |
|
|
Style Transfer (I8)
|
100% |
24940
32.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3461
123.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4895
174.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4978
177.8 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3410
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3069
4.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
992
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
729
13.4 IPS |
|
|
Machine Translation (I8)
|
99% |
862
15.9 IPS |
