MacBook Pro (13-inch, 2022)
Geekbench ML Score
3067
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 30 2025 05:22 PM |
| Views | 8 |
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% |
1031
193.0 IPS |
|
|
Image Classification (F16)
|
100% |
2080
389.2 IPS |
|
|
Image Classification (I8)
|
99% |
2002
374.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
936
15.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
916
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5113
6.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
11881
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
9024
10.9 IPS |
|
|
Object Detection (F32)
|
100% |
976
72.8 IPS |
|
|
Object Detection (F16)
|
100% |
2007
149.9 IPS |
|
|
Object Detection (I8)
|
97% |
1028
76.8 IPS |
|
|
Face Detection (F32)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (F16)
|
97% |
4193
49.9 IPS |
|
|
Face Detection (I8)
|
96% |
4998
59.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3911
30.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9341
72.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10707
83.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16317
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22004
28.9 IPS |
|
|
Style Transfer (I8)
|
100% |
25489
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3073
109.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4401
157.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4986
178.0 IPS |
|
|
Text Classification (F32)
|
100% |
1305
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3039
4.37 KIPS |
|
|
Text Classification (I8)
|
96% |
3113
4.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1030
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1248
23.0 IPS |
|
|
Machine Translation (I8)
|
99% |
880
16.2 IPS |
