MacBook Pro (13-inch, 2022)
Geekbench ML Score
3689
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 05 2025 05:08 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.47 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% |
1244
232.7 IPS |
|
|
Image Classification (F16)
|
100% |
2397
448.6 IPS |
|
|
Image Classification (I8)
|
99% |
2396
448.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
710
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
978
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1081
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5950
7.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
13983
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13939
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1236
92.3 IPS |
|
|
Object Detection (F16)
|
100% |
2265
169.1 IPS |
|
|
Object Detection (I8)
|
97% |
1246
93.0 IPS |
|
|
Face Detection (F32)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (F16)
|
97% |
5622
66.8 IPS |
|
|
Face Detection (I8)
|
96% |
5176
61.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5289
41.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10749
83.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10285
79.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16664
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27265
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27374
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3818
136.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5113
182.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5135
183.4 IPS |
|
|
Text Classification (F32)
|
100% |
2131
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3517
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3534
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1327
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1626
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1346
24.8 IPS |
