MacBook Pro (13-inch, 2022)
Geekbench ML Score
3762
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 02 2025 07:13 PM |
| Views | 8 |
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 | 3.46 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% |
1261
236.0 IPS |
|
|
Image Classification (F16)
|
100% |
2414
451.8 IPS |
|
|
Image Classification (I8)
|
99% |
2360
441.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
753
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1107
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1112
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5818
7.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
14164
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14087
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1281
95.6 IPS |
|
|
Object Detection (F16)
|
100% |
2317
173.0 IPS |
|
|
Object Detection (I8)
|
97% |
1340
100.0 IPS |
|
|
Face Detection (F32)
|
100% |
2982
35.5 IPS |
|
|
Face Detection (F16)
|
97% |
5775
68.7 IPS |
|
|
Face Detection (I8)
|
96% |
5764
68.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5389
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10558
81.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10660
82.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17386
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27613
36.3 IPS |
|
|
Style Transfer (I8)
|
100% |
27594
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3742
133.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5055
180.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5264
188.0 IPS |
|
|
Text Classification (F32)
|
100% |
2107
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3468
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1350
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1631
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1348
24.8 IPS |
