MacBook Pro (13-inch, 2022)
Geekbench ML Score
3366
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 24 2025 06:56 PM |
| Views | 8 |
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 | 3.25 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% |
966
180.7 IPS |
|
|
Image Classification (F16)
|
100% |
2024
378.8 IPS |
|
|
Image Classification (I8)
|
99% |
2246
420.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
708
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1072
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5740
6.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
14049
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
11547
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
1000
74.6 IPS |
|
|
Object Detection (F16)
|
100% |
1820
135.8 IPS |
|
|
Object Detection (I8)
|
97% |
1276
95.2 IPS |
|
|
Face Detection (F32)
|
100% |
2705
32.2 IPS |
|
|
Face Detection (F16)
|
97% |
5157
61.3 IPS |
|
|
Face Detection (I8)
|
96% |
5142
61.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5125
39.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8371
64.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10079
78.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12705
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25375
33.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26274
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2087
74.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4624
165.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5288
188.8 IPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3413
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3331
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1259
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1626
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1284
23.6 IPS |
