MacBook Pro (13-inch, 2022)
Geekbench ML Score
9671
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 07 2026 07:20 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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 | 3.40 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% |
3353
627.4 IPS |
|
|
Image Classification (F16)
|
100% |
11527
2.16 KIPS |
|
|
Image Classification (I8)
|
99% |
12059
2.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1357
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1839
30.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1824
30.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
20079
24.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
89999
109.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
90055
109.1 IPS |
|
|
Object Detection (F32)
|
100% |
2736
204.3 IPS |
|
|
Object Detection (F16)
|
100% |
5562
415.3 IPS |
|
|
Object Detection (I8)
|
97% |
2765
206.4 IPS |
|
|
Face Detection (F32)
|
100% |
6955
82.7 IPS |
|
|
Face Detection (F16)
|
97% |
17005
202.2 IPS |
|
|
Face Detection (I8)
|
96% |
19663
233.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15670
121.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
47731
370.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
62243
482.7 IPS |
|
|
Style Transfer (F32)
|
100% |
27931
36.7 IPS |
|
|
Style Transfer (F16)
|
100% |
145682
191.6 IPS |
|
|
Style Transfer (I8)
|
100% |
140375
184.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7365
263.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34411
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33619
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2160
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3539
5.09 KIPS |
|
|
Text Classification (I8)
|
96% |
3554
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1212
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1402
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1040
19.1 IPS |
