MacBook Pro (13-inch, 2022)
Geekbench ML Score
9492
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 03 2026 07:59 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 3.17 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% |
2854
534.0 IPS |
|
|
Image Classification (F16)
|
100% |
10891
2.04 KIPS |
|
|
Image Classification (I8)
|
99% |
10765
2.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1199
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2027
33.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1951
32.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22995
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
93860
113.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
88927
107.7 IPS |
|
|
Object Detection (F32)
|
100% |
1801
134.5 IPS |
|
|
Object Detection (F16)
|
100% |
5206
388.6 IPS |
|
|
Object Detection (I8)
|
97% |
2838
211.9 IPS |
|
|
Face Detection (F32)
|
100% |
9646
114.7 IPS |
|
|
Face Detection (F16)
|
97% |
19403
230.7 IPS |
|
|
Face Detection (I8)
|
96% |
18593
221.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16082
124.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
52301
405.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
65959
511.5 IPS |
|
|
Style Transfer (F32)
|
100% |
35924
47.3 IPS |
|
|
Style Transfer (F16)
|
100% |
149524
196.7 IPS |
|
|
Style Transfer (I8)
|
100% |
144216
189.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3487
124.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35323
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35387
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2079
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3622
5.21 KIPS |
|
|
Text Classification (I8)
|
96% |
3481
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1064
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1032
19.0 IPS |
