MacBook Pro (13-inch, 2022)
Geekbench ML Score
3695
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 11 2025 07:18 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.16 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% |
1150
215.2 IPS |
|
|
Image Classification (F16)
|
100% |
1970
368.6 IPS |
|
|
Image Classification (I8)
|
99% |
2129
398.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
684
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1099
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1007
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6207
7.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
11918
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14177
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1400
104.5 IPS |
|
|
Object Detection (F16)
|
100% |
2405
179.6 IPS |
|
|
Object Detection (I8)
|
97% |
1387
103.5 IPS |
|
|
Face Detection (F32)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (F16)
|
97% |
5584
66.4 IPS |
|
|
Face Detection (I8)
|
97% |
5589
66.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5193
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10716
83.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10721
83.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17544
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27736
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
27680
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4097
146.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5164
184.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5178
184.9 IPS |
|
|
Text Classification (F32)
|
100% |
2137
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3507
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3487
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1331
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1630
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1329
24.5 IPS |
