MacBook Pro (13-inch, 2022)
Geekbench ML Score
3165
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 04 2025 07:44 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 3.29 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% |
997
186.5 IPS |
|
|
Image Classification (F16)
|
100% |
1367
255.9 IPS |
|
|
Image Classification (I8)
|
99% |
1685
315.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
546
9.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
902
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
887
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6013
7.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
13904
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13409
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1285
95.9 IPS |
|
|
Object Detection (F16)
|
100% |
2215
165.3 IPS |
|
|
Object Detection (I8)
|
97% |
1382
103.2 IPS |
|
|
Face Detection (F32)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
4660
55.4 IPS |
|
|
Face Detection (I8)
|
97% |
4647
55.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4441
34.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8639
67.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
9747
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16604
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
21723
28.6 IPS |
|
|
Style Transfer (I8)
|
100% |
23493
30.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3463
123.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3733
133.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4966
177.4 IPS |
|
|
Text Classification (F32)
|
100% |
1805
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
2185
3.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3368
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1060
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1272
23.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1052
19.4 IPS |
