MacBook Pro (13-inch, 2022)
Geekbench ML Score
9464
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 09 2025 07:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.30 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% |
1492
279.3 IPS |
|
|
Image Classification (F16)
|
100% |
10377
1.94 KIPS |
|
|
Image Classification (I8)
|
99% |
12320
2.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1280
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2018
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1467
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23377
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
95142
115.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
67965
82.3 IPS |
|
|
Object Detection (F32)
|
100% |
2782
207.7 IPS |
|
|
Object Detection (F16)
|
100% |
5339
398.6 IPS |
|
|
Object Detection (I8)
|
97% |
2234
166.8 IPS |
|
|
Face Detection (F32)
|
100% |
9347
111.1 IPS |
|
|
Face Detection (F16)
|
97% |
19478
231.6 IPS |
|
|
Face Detection (I8)
|
96% |
20397
242.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15022
116.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
46486
360.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
48414
375.4 IPS |
|
|
Style Transfer (F32)
|
100% |
35864
47.2 IPS |
|
|
Style Transfer (F16)
|
100% |
145224
191.0 IPS |
|
|
Style Transfer (I8)
|
100% |
149796
197.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10501
375.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35177
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35470
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2180
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3556
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3555
5.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1015
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1053
19.4 IPS |
