MacBook Pro (13-inch, 2022)
Geekbench ML Score
3820
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 23 2025 07:45 PM |
| Views | 7 |
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 | 3.30 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% |
1250
233.9 IPS |
|
|
Image Classification (F16)
|
100% |
2465
461.3 IPS |
|
|
Image Classification (I8)
|
99% |
2466
461.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1092
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1058
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6096
7.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
14533
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14514
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1304
97.3 IPS |
|
|
Object Detection (F16)
|
100% |
2445
182.6 IPS |
|
|
Object Detection (I8)
|
97% |
1360
101.5 IPS |
|
|
Face Detection (F32)
|
100% |
3049
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5512
65.5 IPS |
|
|
Face Detection (I8)
|
96% |
5844
69.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5416
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10737
83.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10723
83.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17635
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27712
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27659
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3760
134.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4972
177.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5282
188.7 IPS |
|
|
Text Classification (F32)
|
100% |
2159
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3534
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3591
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1349
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1663
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1340
24.7 IPS |
