MacBook Pro (13-inch, 2022)
Geekbench ML Score
3762
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 05:17 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.34 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% |
1291
241.5 IPS |
|
|
Image Classification (F16)
|
100% |
2381
445.5 IPS |
|
|
Image Classification (I8)
|
99% |
2221
415.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
715
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1001
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1109
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6603
8.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
14318
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14139
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1345
100.4 IPS |
|
|
Object Detection (F16)
|
100% |
2301
171.8 IPS |
|
|
Object Detection (I8)
|
97% |
1340
100.1 IPS |
|
|
Face Detection (F32)
|
100% |
2923
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5656
67.3 IPS |
|
|
Face Detection (I8)
|
97% |
5651
67.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5392
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10854
84.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10571
82.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17153
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28431
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28323
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4012
143.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5076
181.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4980
177.9 IPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3417
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3376
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1397
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1621
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1380
25.4 IPS |
