MacBook Pro (13-inch, 2022)
Geekbench ML Score
3392
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 06:46 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5031i) |
| 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% |
1072
200.6 IPS |
|
|
Image Classification (F16)
|
100% |
2063
386.0 IPS |
|
|
Image Classification (I8)
|
99% |
1994
373.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
626
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
838
14.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
955
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5018
6.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
13626
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12527
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
1079
80.6 IPS |
|
|
Object Detection (F16)
|
100% |
2282
170.4 IPS |
|
|
Object Detection (I8)
|
97% |
1097
81.9 IPS |
|
|
Face Detection (F32)
|
100% |
2436
29.0 IPS |
|
|
Face Detection (F16)
|
97% |
4598
54.7 IPS |
|
|
Face Detection (I8)
|
96% |
4942
58.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4923
38.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9227
71.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9264
71.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16778
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27510
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27585
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3811
136.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5054
180.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5159
184.2 IPS |
|
|
Text Classification (F32)
|
100% |
2117
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3366
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3433
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1236
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1512
27.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1198
22.0 IPS |
