MacBook Pro (13-inch, 2022)
Geekbench ML Score
9654
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 29 2026 05:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.18 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% |
3564
667.0 IPS |
|
|
Image Classification (F16)
|
100% |
10053
1.88 KIPS |
|
|
Image Classification (I8)
|
99% |
11431
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
705
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1406
23.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1238
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
21301
25.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
79209
95.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
88675
107.4 IPS |
|
|
Object Detection (F32)
|
100% |
2838
211.9 IPS |
|
|
Object Detection (F16)
|
100% |
5251
392.0 IPS |
|
|
Object Detection (I8)
|
97% |
2800
209.0 IPS |
|
|
Face Detection (F32)
|
100% |
7703
91.6 IPS |
|
|
Face Detection (F16)
|
98% |
15068
179.2 IPS |
|
|
Face Detection (I8)
|
97% |
17133
203.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15874
123.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
40207
311.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
52217
404.9 IPS |
|
|
Style Transfer (F32)
|
100% |
39274
51.7 IPS |
|
|
Style Transfer (F16)
|
100% |
139937
184.1 IPS |
|
|
Style Transfer (I8)
|
100% |
146500
192.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6672
238.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34740
1.24 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36632
1.31 KIPS |
|
|
Text Classification (F32)
|
100% |
3860
5.55 KIPS |
|
|
Text Classification (F16)
|
100% |
5904
8.48 KIPS |
|
|
Text Classification (I8)
|
96% |
6015
8.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1125
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1138
20.9 IPS |
