MacBook Pro (13-inch, 2022)
Geekbench ML Score
8960
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 08:25 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 3.31 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% |
2868
536.7 IPS |
|
|
Image Classification (F16)
|
100% |
10911
2.04 KIPS |
|
|
Image Classification (I8)
|
99% |
12056
2.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1071
17.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1765
29.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1827
30.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22254
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
90889
110.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
94811
114.8 IPS |
|
|
Object Detection (F32)
|
100% |
2028
151.4 IPS |
|
|
Object Detection (F16)
|
100% |
5512
411.5 IPS |
|
|
Object Detection (I8)
|
97% |
2142
159.9 IPS |
|
|
Face Detection (F32)
|
100% |
8735
103.9 IPS |
|
|
Face Detection (F16)
|
97% |
16370
194.6 IPS |
|
|
Face Detection (I8)
|
96% |
19880
236.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
14643
113.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
54177
420.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
65311
506.5 IPS |
|
|
Style Transfer (F32)
|
100% |
32201
42.4 IPS |
|
|
Style Transfer (F16)
|
100% |
142203
187.1 IPS |
|
|
Style Transfer (I8)
|
100% |
142355
187.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5752
205.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27095
967.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
30354
1.08 KIPS |
|
|
Text Classification (F32)
|
100% |
1865
2.68 KIPS |
|
|
Text Classification (F16)
|
100% |
3314
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
2677
3.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
806
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1213
22.3 IPS |
|
|
Machine Translation (I8)
|
99% |
846
15.6 IPS |
