MacBook Pro (13-inch, 2022)
Geekbench ML Score
3473
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 04 2026 04:58 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
1117
209.0 IPS |
|
|
Image Classification (F16)
|
100% |
2231
417.5 IPS |
|
|
Image Classification (I8)
|
99% |
2301
430.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
517
8.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
671
11.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
670
11.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4384
5.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
10803
13.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14241
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1209
90.2 IPS |
|
|
Object Detection (F16)
|
100% |
2284
170.5 IPS |
|
|
Object Detection (I8)
|
97% |
1316
98.3 IPS |
|
|
Face Detection (F32)
|
100% |
2763
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
5772
68.6 IPS |
|
|
Face Detection (I8)
|
96% |
5668
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5213
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10626
82.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10923
84.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17694
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27738
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27070
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3742
133.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5284
188.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5309
189.6 IPS |
|
|
Text Classification (F32)
|
100% |
2078
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3526
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3453
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1240
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1624
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1319
24.3 IPS |
