MacBook Pro (13-inch, 2022)
Geekbench ML Score
9547
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 04:49 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.47 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% |
3441
644.0 IPS |
|
|
Image Classification (F16)
|
100% |
11154
2.09 KIPS |
|
|
Image Classification (I8)
|
99% |
12096
2.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1312
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1960
32.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1992
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22975
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
93923
113.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
96508
116.9 IPS |
|
|
Object Detection (F32)
|
100% |
1706
127.4 IPS |
|
|
Object Detection (F16)
|
100% |
5226
390.2 IPS |
|
|
Object Detection (I8)
|
97% |
2837
211.8 IPS |
|
|
Face Detection (F32)
|
100% |
9275
110.3 IPS |
|
|
Face Detection (F16)
|
97% |
20342
241.9 IPS |
|
|
Face Detection (I8)
|
96% |
16626
197.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16162
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
45761
354.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
51879
402.3 IPS |
|
|
Style Transfer (F32)
|
100% |
33935
44.6 IPS |
|
|
Style Transfer (F16)
|
100% |
140911
185.4 IPS |
|
|
Style Transfer (I8)
|
100% |
145018
190.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6964
248.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35565
1.27 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36065
1.29 KIPS |
|
|
Text Classification (F32)
|
100% |
2086
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3408
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3404
4.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1392
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
862
15.9 IPS |
