MacBook Pro (13-inch, 2022)
Geekbench ML Score
9774
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 08 2026 06:51 PM |
| Views | 12 |
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 | 3.47 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% |
3487
652.4 IPS |
|
|
Image Classification (F16)
|
100% |
10481
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
11149
2.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1323
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1853
30.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1815
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23191
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94666
114.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
90852
110.0 IPS |
|
|
Object Detection (F32)
|
100% |
2858
213.4 IPS |
|
|
Object Detection (F16)
|
100% |
5567
415.6 IPS |
|
|
Object Detection (I8)
|
97% |
1582
118.1 IPS |
|
|
Face Detection (F32)
|
100% |
9574
113.8 IPS |
|
|
Face Detection (F16)
|
97% |
20336
241.8 IPS |
|
|
Face Detection (I8)
|
96% |
20323
241.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15906
123.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
52069
403.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
49959
387.4 IPS |
|
|
Style Transfer (F32)
|
100% |
40274
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
141632
186.3 IPS |
|
|
Style Transfer (I8)
|
100% |
148412
195.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5760
205.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
37717
1.35 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35394
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2111
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3568
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3596
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1179
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1425
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1143
21.0 IPS |
