MacBook Pro (13-inch, 2022)
Geekbench ML Score
10082
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 06:42 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
3486
652.4 IPS |
|
|
Image Classification (F16)
|
100% |
9421
1.76 KIPS |
|
|
Image Classification (I8)
|
99% |
11856
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1639
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2008
33.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1573
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23271
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
94692
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
71730
86.9 IPS |
|
|
Object Detection (F32)
|
100% |
2852
212.9 IPS |
|
|
Object Detection (F16)
|
100% |
5636
420.7 IPS |
|
|
Object Detection (I8)
|
97% |
2846
212.4 IPS |
|
|
Face Detection (F32)
|
100% |
9471
112.6 IPS |
|
|
Face Detection (F16)
|
97% |
20335
241.8 IPS |
|
|
Face Detection (I8)
|
96% |
20380
242.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16099
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
53804
417.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
53950
418.4 IPS |
|
|
Style Transfer (F32)
|
100% |
37219
49.0 IPS |
|
|
Style Transfer (F16)
|
100% |
149295
196.4 IPS |
|
|
Style Transfer (I8)
|
100% |
143356
188.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9449
337.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34226
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35430
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2176
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3658
5.26 KIPS |
|
|
Text Classification (I8)
|
96% |
3594
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1126
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1436
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1132
20.8 IPS |
