MacBook Pro (13-inch, 2022)
Geekbench ML Score
9495
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 16 2025 06:40 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.46 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% |
3370
630.6 IPS |
|
|
Image Classification (F16)
|
100% |
10466
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
10558
1.98 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1247
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1628
27.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1971
32.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23203
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
88790
107.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
96423
116.8 IPS |
|
|
Object Detection (F32)
|
100% |
2845
212.4 IPS |
|
|
Object Detection (F16)
|
100% |
5599
418.0 IPS |
|
|
Object Detection (I8)
|
97% |
2423
180.9 IPS |
|
|
Face Detection (F32)
|
100% |
4664
55.5 IPS |
|
|
Face Detection (F16)
|
97% |
17054
202.8 IPS |
|
|
Face Detection (I8)
|
96% |
18627
221.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15996
124.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
41751
323.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
52584
407.8 IPS |
|
|
Style Transfer (F32)
|
100% |
37745
49.6 IPS |
|
|
Style Transfer (F16)
|
100% |
142149
187.0 IPS |
|
|
Style Transfer (I8)
|
100% |
149414
196.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9762
348.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33495
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33980
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2063
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3535
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3630
5.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1044
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1029
18.9 IPS |
