MacBook Pro (13-inch, 2022)
Geekbench ML Score
3716
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 04 2025 05:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.28 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% |
1254
234.7 IPS |
|
|
Image Classification (F16)
|
100% |
2312
432.6 IPS |
|
|
Image Classification (I8)
|
99% |
2354
440.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1167
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1044
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6098
7.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
14272
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14248
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1412
105.4 IPS |
|
|
Object Detection (F16)
|
100% |
2416
180.3 IPS |
|
|
Object Detection (I8)
|
97% |
1370
102.3 IPS |
|
|
Face Detection (F32)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (F16)
|
97% |
4529
53.9 IPS |
|
|
Face Detection (I8)
|
97% |
5555
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5151
39.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10768
83.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10759
83.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17312
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27227
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27346
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4112
146.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5204
185.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5165
184.4 IPS |
|
|
Text Classification (F32)
|
100% |
2079
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3407
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3540
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1329
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1656
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1335
24.6 IPS |
