MacBook Pro (13-inch, 2022)
Geekbench ML Score
3020
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 21 2026 06:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5058e) |
| 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 | 3.14 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% |
974
182.3 IPS |
|
|
Image Classification (F16)
|
100% |
1973
369.2 IPS |
|
|
Image Classification (I8)
|
99% |
1873
350.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
737
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
908
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5258
6.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
11862
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11733
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1193
89.1 IPS |
|
|
Object Detection (F16)
|
100% |
2146
160.2 IPS |
|
|
Object Detection (I8)
|
97% |
1214
90.6 IPS |
|
|
Face Detection (F32)
|
100% |
2713
32.3 IPS |
|
|
Face Detection (F16)
|
97% |
5050
60.0 IPS |
|
|
Face Detection (I8)
|
96% |
4101
48.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3314
25.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8636
67.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7800
60.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12478
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
22113
29.1 IPS |
|
|
Style Transfer (I8)
|
100% |
26519
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3703
132.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4939
176.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3446
123.1 IPS |
|
|
Text Classification (F32)
|
100% |
1690
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
2937
4.22 KIPS |
|
|
Text Classification (I8)
|
96% |
2512
3.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
804
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
926
17.0 IPS |
|
|
Machine Translation (I8)
|
99% |
923
17.0 IPS |
