MacBook Pro (13-inch, 2022)
Geekbench ML Score
9166
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 28 2025 04:27 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E246) |
| 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% |
3471
649.5 IPS |
|
|
Image Classification (F16)
|
100% |
11207
2.10 KIPS |
|
|
Image Classification (I8)
|
99% |
12058
2.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
965
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1968
32.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1901
31.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23102
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
93991
113.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
93973
113.8 IPS |
|
|
Object Detection (F32)
|
100% |
2233
166.7 IPS |
|
|
Object Detection (F16)
|
100% |
4894
365.4 IPS |
|
|
Object Detection (I8)
|
97% |
1122
83.8 IPS |
|
|
Face Detection (F32)
|
100% |
8982
106.8 IPS |
|
|
Face Detection (F16)
|
97% |
20022
238.1 IPS |
|
|
Face Detection (I8)
|
96% |
20220
240.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13006
100.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
41926
325.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
46958
364.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41039
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
149720
196.9 IPS |
|
|
Style Transfer (I8)
|
100% |
134879
177.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6104
218.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33593
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34608
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2125
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3562
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3625
5.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
908
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
894
16.4 IPS |
