MacBook Pro (13-inch, 2022)
Geekbench ML Score
3319
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 03:25 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.17 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% |
1060
198.3 IPS |
|
|
Image Classification (F16)
|
100% |
2059
385.3 IPS |
|
|
Image Classification (I8)
|
99% |
2105
393.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
718
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
891
14.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
869
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4724
5.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
11916
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14206
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1291
96.4 IPS |
|
|
Object Detection (F16)
|
100% |
2360
176.2 IPS |
|
|
Object Detection (I8)
|
97% |
1307
97.6 IPS |
|
|
Face Detection (F32)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (F16)
|
97% |
4284
50.9 IPS |
|
|
Face Detection (I8)
|
96% |
4972
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5201
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10611
82.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10839
84.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12994
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27102
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27025
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3659
130.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4852
173.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3487
124.5 IPS |
|
|
Text Classification (F32)
|
100% |
1664
2.39 KIPS |
|
|
Text Classification (F16)
|
100% |
3205
4.61 KIPS |
|
|
Text Classification (I8)
|
96% |
2632
3.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
986
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1553
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1232
22.7 IPS |
