MacBook Pro (13-inch, 2022)
Geekbench ML Score
3486
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 09 2026 06:24 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
875
163.7 IPS |
|
|
Image Classification (F16)
|
100% |
1830
342.4 IPS |
|
|
Image Classification (I8)
|
99% |
1635
305.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
634
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
923
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
874
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5637
6.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
13845
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13847
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1296
96.8 IPS |
|
|
Object Detection (F16)
|
100% |
2345
175.1 IPS |
|
|
Object Detection (I8)
|
97% |
1272
95.0 IPS |
|
|
Face Detection (F32)
|
100% |
2808
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
5431
64.6 IPS |
|
|
Face Detection (I8)
|
96% |
5597
66.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5076
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10717
83.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10804
83.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17258
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
23128
30.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26479
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3826
136.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5211
186.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5207
186.0 IPS |
|
|
Text Classification (F32)
|
100% |
2009
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3429
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3372
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1287
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1617
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1259
23.2 IPS |
