MacBook Pro (13-inch, 2022)
Geekbench ML Score
3952
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 11 2026 06:44 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
1279
239.3 IPS |
|
|
Image Classification (F16)
|
100% |
2456
459.6 IPS |
|
|
Image Classification (I8)
|
99% |
2326
435.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
832
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1117
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1118
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5932
7.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
14401
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14064
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1087
81.1 IPS |
|
|
Object Detection (F16)
|
100% |
2407
179.7 IPS |
|
|
Object Detection (I8)
|
97% |
1346
100.5 IPS |
|
|
Face Detection (F32)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5360
63.7 IPS |
|
|
Face Detection (I8)
|
96% |
5568
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5297
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10880
84.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10826
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17396
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28558
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28359
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3734
133.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5232
186.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5232
186.9 IPS |
|
|
Text Classification (F32)
|
100% |
3734
5.37 KIPS |
|
|
Text Classification (F16)
|
100% |
5592
8.04 KIPS |
|
|
Text Classification (I8)
|
96% |
5463
7.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1581
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1287
23.7 IPS |
