MacBook Pro (13-inch, 2022)
Geekbench ML Score
9865
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 20 2026 06:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5053d) |
| 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 | 3.31 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% |
3272
612.4 IPS |
|
|
Image Classification (F16)
|
100% |
8553
1.60 KIPS |
|
|
Image Classification (I8)
|
99% |
10380
1.94 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1256
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1633
27.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1588
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23082
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
68498
82.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
92206
111.7 IPS |
|
|
Object Detection (F32)
|
100% |
2655
198.2 IPS |
|
|
Object Detection (F16)
|
100% |
5982
446.6 IPS |
|
|
Object Detection (I8)
|
97% |
2788
208.1 IPS |
|
|
Face Detection (F32)
|
100% |
9033
107.4 IPS |
|
|
Face Detection (F16)
|
98% |
18195
216.3 IPS |
|
|
Face Detection (I8)
|
97% |
17658
210.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14322
111.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
53767
417.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
68218
529.0 IPS |
|
|
Style Transfer (F32)
|
100% |
38523
50.7 IPS |
|
|
Style Transfer (F16)
|
100% |
134545
177.0 IPS |
|
|
Style Transfer (I8)
|
100% |
142612
187.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8396
299.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29739
1.06 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
30395
1.09 KIPS |
|
|
Text Classification (F32)
|
100% |
3488
5.01 KIPS |
|
|
Text Classification (F16)
|
100% |
5934
8.53 KIPS |
|
|
Text Classification (I8)
|
96% |
4841
6.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
948
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1326
24.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1013
18.6 IPS |
