MacBook Pro (13-inch, 2022)
Geekbench ML Score
3563
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 02 2025 07:02 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.10 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% |
1029
192.6 IPS |
|
|
Image Classification (F16)
|
100% |
2023
378.6 IPS |
|
|
Image Classification (I8)
|
99% |
1999
374.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
658
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
883
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
972
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5285
6.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
13911
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14200
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1133
84.6 IPS |
|
|
Object Detection (F16)
|
100% |
2296
171.4 IPS |
|
|
Object Detection (I8)
|
97% |
1308
97.6 IPS |
|
|
Face Detection (F32)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5789
68.8 IPS |
|
|
Face Detection (I8)
|
96% |
5768
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5130
39.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10691
82.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10573
82.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17200
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27398
36.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27409
36.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3835
137.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5077
181.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4933
176.2 IPS |
|
|
Text Classification (F32)
|
100% |
2123
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3426
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3189
4.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
1316
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1554
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1263
23.2 IPS |
