MacBook Pro (13-inch, 2022)
Geekbench ML Score
3649
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 07:46 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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 | 2.82 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% |
1185
221.7 IPS |
|
|
Image Classification (F16)
|
100% |
2352
440.2 IPS |
|
|
Image Classification (I8)
|
99% |
2389
447.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
734
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
962
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
895
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6058
7.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
14429
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14434
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1137
84.9 IPS |
|
|
Object Detection (F16)
|
100% |
2146
160.2 IPS |
|
|
Object Detection (I8)
|
97% |
1285
95.9 IPS |
|
|
Face Detection (F32)
|
100% |
2797
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
5743
68.3 IPS |
|
|
Face Detection (I8)
|
96% |
5620
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5134
39.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10852
84.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10976
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17550
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27300
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27214
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3893
139.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5195
185.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5215
186.2 IPS |
|
|
Text Classification (F32)
|
100% |
1778
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
3399
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3495
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1287
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1676
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1280
23.6 IPS |
