MacBook Pro (13-inch, 2022)
Geekbench ML Score
9458
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 25 2025 06:27 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.38 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% |
3103
580.7 IPS |
|
|
Image Classification (F16)
|
100% |
11110
2.08 KIPS |
|
|
Image Classification (I8)
|
99% |
11928
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1162
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1979
33.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1921
32.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22901
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
91980
111.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
93299
113.0 IPS |
|
|
Object Detection (F32)
|
100% |
1995
149.0 IPS |
|
|
Object Detection (F16)
|
100% |
6030
450.2 IPS |
|
|
Object Detection (I8)
|
97% |
2835
211.7 IPS |
|
|
Face Detection (F32)
|
100% |
9300
110.6 IPS |
|
|
Face Detection (F16)
|
97% |
19334
229.9 IPS |
|
|
Face Detection (I8)
|
96% |
16220
192.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15688
121.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
49108
380.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
46864
363.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28324
37.3 IPS |
|
|
Style Transfer (F16)
|
100% |
140569
184.9 IPS |
|
|
Style Transfer (I8)
|
100% |
147078
193.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8330
297.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33712
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33249
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3361
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3457
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1367
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
872
16.1 IPS |
