MacBook Pro (13-inch, 2022)
Geekbench ML Score
9808
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 07:37 PM |
| Views | 15 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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% |
3416
639.2 IPS |
|
|
Image Classification (F16)
|
100% |
10677
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11196
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1384
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1957
32.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2020
33.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23160
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
94866
114.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
96928
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
2793
208.5 IPS |
|
|
Object Detection (F16)
|
100% |
5465
408.0 IPS |
|
|
Object Detection (I8)
|
97% |
2772
207.0 IPS |
|
|
Face Detection (F32)
|
100% |
9340
111.1 IPS |
|
|
Face Detection (F16)
|
97% |
19438
231.1 IPS |
|
|
Face Detection (I8)
|
96% |
20302
241.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15501
120.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
51744
401.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
50203
389.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40951
53.9 IPS |
|
|
Style Transfer (F16)
|
100% |
145131
190.9 IPS |
|
|
Style Transfer (I8)
|
100% |
150690
198.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7270
259.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33090
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33026
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
2136
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3493
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3464
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
906
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1344
24.7 IPS |
|
|
Machine Translation (I8)
|
99% |
837
15.4 IPS |
