MacBook Pro (13-inch, 2022)
Geekbench ML Score
3539
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 07:07 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 | 3.16 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% |
856
160.1 IPS |
|
|
Image Classification (F16)
|
100% |
2249
420.8 IPS |
|
|
Image Classification (I8)
|
99% |
2295
429.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1017
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
950
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5867
7.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
14194
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14522
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1344
100.4 IPS |
|
|
Object Detection (F16)
|
100% |
2392
178.6 IPS |
|
|
Object Detection (I8)
|
97% |
1288
96.2 IPS |
|
|
Face Detection (F32)
|
100% |
2394
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
5080
60.4 IPS |
|
|
Face Detection (I8)
|
96% |
4883
58.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5125
39.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9792
75.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10430
80.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16843
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
25842
34.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26874
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3897
139.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5313
189.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5032
179.7 IPS |
|
|
Text Classification (F32)
|
100% |
1646
2.37 KIPS |
|
|
Text Classification (F16)
|
100% |
3226
4.64 KIPS |
|
|
Text Classification (I8)
|
96% |
3321
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1241
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1658
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1224
22.5 IPS |
