MacBook Pro (13-inch, 2022)
Geekbench ML Score
3679
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 07:23 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.39 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% |
1259
235.7 IPS |
|
|
Image Classification (F16)
|
100% |
2416
452.1 IPS |
|
|
Image Classification (I8)
|
99% |
2435
455.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
769
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1059
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6527
7.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
11925
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13836
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1238
92.4 IPS |
|
|
Object Detection (F16)
|
100% |
2341
174.7 IPS |
|
|
Object Detection (I8)
|
97% |
1383
103.3 IPS |
|
|
Face Detection (F32)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (F16)
|
97% |
5013
59.6 IPS |
|
|
Face Detection (I8)
|
97% |
4539
54.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5276
40.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9660
74.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10899
84.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18179
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28444
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26521
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4063
145.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5143
183.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5137
183.5 IPS |
|
|
Text Classification (F32)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3417
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3439
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1307
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1584
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1330
24.5 IPS |
