MacBook Pro (13-inch, 2022)
Geekbench ML Score
3650
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 08:46 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 | 3.30 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% |
1177
220.3 IPS |
|
|
Image Classification (F16)
|
100% |
2331
436.3 IPS |
|
|
Image Classification (I8)
|
99% |
2353
440.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
782
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1021
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
967
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5933
7.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
14288
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14468
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1348
100.7 IPS |
|
|
Object Detection (F16)
|
100% |
2449
182.8 IPS |
|
|
Object Detection (I8)
|
97% |
1275
95.2 IPS |
|
|
Face Detection (F32)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5840
69.4 IPS |
|
|
Face Detection (I8)
|
96% |
5483
65.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5421
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11090
86.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10968
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17193
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27080
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27623
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3839
137.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4730
168.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3916
139.8 IPS |
|
|
Text Classification (F32)
|
100% |
1741
2.50 KIPS |
|
|
Text Classification (F16)
|
100% |
3145
4.52 KIPS |
|
|
Text Classification (I8)
|
96% |
3435
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1226
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1668
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1291
23.8 IPS |
