MacBook Pro (13-inch, 2022)
Geekbench ML Score
8338
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 16 2025 07:38 PM |
| Views | 4 |
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 | 3.16 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3168
592.9 IPS |
|
|
Image Classification (F16)
|
100% |
9818
1.84 KIPS |
|
|
Image Classification (I8)
|
99% |
9106
1.70 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1054
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1414
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1422
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22978
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
76303
92.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
74994
90.8 IPS |
|
|
Object Detection (F32)
|
100% |
2698
201.4 IPS |
|
|
Object Detection (F16)
|
100% |
5006
373.7 IPS |
|
|
Object Detection (I8)
|
97% |
1268
94.7 IPS |
|
|
Face Detection (F32)
|
100% |
8889
105.7 IPS |
|
|
Face Detection (F16)
|
97% |
15465
183.9 IPS |
|
|
Face Detection (I8)
|
96% |
16391
194.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16099
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
56360
437.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
54763
424.7 IPS |
|
|
Style Transfer (F32)
|
100% |
34303
45.1 IPS |
|
|
Style Transfer (F16)
|
100% |
122864
161.6 IPS |
|
|
Style Transfer (I8)
|
100% |
132363
174.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6836
244.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30633
1.09 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
30142
1.08 KIPS |
|
|
Text Classification (F32)
|
100% |
1668
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
2873
4.13 KIPS |
|
|
Text Classification (I8)
|
96% |
2766
3.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
769
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1085
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
727
13.4 IPS |
