MacBook Pro (13-inch, 2022)
Geekbench ML Score
3717
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2026 06:33 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.31 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% |
1199
224.3 IPS |
|
|
Image Classification (F16)
|
100% |
2368
443.1 IPS |
|
|
Image Classification (I8)
|
99% |
2349
439.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1084
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
984
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5815
7.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
14146
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14110
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1327
99.1 IPS |
|
|
Object Detection (F16)
|
100% |
2423
180.9 IPS |
|
|
Object Detection (I8)
|
97% |
1325
98.9 IPS |
|
|
Face Detection (F32)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
5709
67.9 IPS |
|
|
Face Detection (I8)
|
96% |
5660
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5248
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10816
83.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10827
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17243
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27188
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26967
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3893
139.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5148
183.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5176
184.9 IPS |
|
|
Text Classification (F32)
|
100% |
2090
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3412
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3541
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1165
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1587
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1280
23.6 IPS |
