MacBook Pro (13-inch, 2022)
Geekbench ML Score
3549
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 07:03 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.29 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% |
1139
213.1 IPS |
|
|
Image Classification (F16)
|
100% |
2180
408.0 IPS |
|
|
Image Classification (I8)
|
99% |
2326
435.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
794
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1116
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1008
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5856
7.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
11443
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12051
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1077
80.4 IPS |
|
|
Object Detection (F16)
|
100% |
2260
168.7 IPS |
|
|
Object Detection (I8)
|
97% |
1324
98.9 IPS |
|
|
Face Detection (F32)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (F16)
|
97% |
5341
63.5 IPS |
|
|
Face Detection (I8)
|
96% |
5371
63.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4963
38.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9832
76.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10435
80.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16480
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26943
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26076
34.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3777
134.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5123
182.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5168
184.6 IPS |
|
|
Text Classification (F32)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3401
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
2783
4.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1263
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1620
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1251
23.0 IPS |
