MacBook Pro (13-inch, 2022)
Geekbench ML Score
3577
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:43 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.47 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% |
1207
225.9 IPS |
|
|
Image Classification (F16)
|
100% |
2284
427.4 IPS |
|
|
Image Classification (I8)
|
99% |
2079
389.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1088
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
950
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5999
7.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
14376
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14323
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1291
96.4 IPS |
|
|
Object Detection (F16)
|
100% |
2306
172.1 IPS |
|
|
Object Detection (I8)
|
97% |
1304
97.3 IPS |
|
|
Face Detection (F32)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5513
65.6 IPS |
|
|
Face Detection (I8)
|
96% |
5617
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4764
36.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9028
70.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
9275
71.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16412
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27720
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27577
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3856
137.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3371
120.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4170
148.9 IPS |
|
|
Text Classification (F32)
|
100% |
2087
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3582
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3600
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1640
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1316
24.2 IPS |
