MacBook Pro (13-inch, 2022)
Geekbench ML Score
3674
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 29 2025 08:10 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.48 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% |
1288
241.0 IPS |
|
|
Image Classification (F16)
|
100% |
2457
459.7 IPS |
|
|
Image Classification (I8)
|
99% |
2457
459.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
888
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1189
19.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1177
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6117
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
14565
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14423
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1187
88.6 IPS |
|
|
Object Detection (F16)
|
100% |
2225
166.1 IPS |
|
|
Object Detection (I8)
|
97% |
1222
91.2 IPS |
|
|
Face Detection (F32)
|
100% |
2637
31.4 IPS |
|
|
Face Detection (F16)
|
97% |
5473
65.1 IPS |
|
|
Face Detection (I8)
|
96% |
5040
59.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5349
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10815
83.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10845
84.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16646
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
21715
28.6 IPS |
|
|
Style Transfer (I8)
|
100% |
24739
32.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3741
133.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4993
178.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5283
188.7 IPS |
|
|
Text Classification (F32)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3452
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3171
4.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1291
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1608
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1272
23.4 IPS |
