MacBook Pro (13-inch, 2022)
Geekbench ML Score
3856
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 05 2025 06:29 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1349
252.5 IPS |
|
|
Image Classification (F16)
|
100% |
2420
452.9 IPS |
|
|
Image Classification (I8)
|
99% |
2302
430.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1044
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1153
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6590
7.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
14125
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13885
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1403
104.7 IPS |
|
|
Object Detection (F16)
|
100% |
2347
175.2 IPS |
|
|
Object Detection (I8)
|
97% |
1400
104.6 IPS |
|
|
Face Detection (F32)
|
100% |
3160
37.6 IPS |
|
|
Face Detection (F16)
|
97% |
5921
70.4 IPS |
|
|
Face Detection (I8)
|
97% |
5932
70.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5754
44.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11680
90.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11467
88.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18127
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27834
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27898
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4125
147.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4871
174.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4923
175.8 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3439
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3463
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1590
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1397
25.7 IPS |
