MacBook Pro (13-inch, 2022)
Geekbench ML Score
9036
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 05:14 PM |
| Views | 8 |
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 | 3.41 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% |
2138
400.2 IPS |
|
|
Image Classification (F16)
|
100% |
9251
1.73 KIPS |
|
|
Image Classification (I8)
|
99% |
11941
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1362
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2023
33.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1596
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23174
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
93987
113.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
94408
114.3 IPS |
|
|
Object Detection (F32)
|
100% |
1052
78.5 IPS |
|
|
Object Detection (F16)
|
100% |
4558
340.3 IPS |
|
|
Object Detection (I8)
|
97% |
1513
113.0 IPS |
|
|
Face Detection (F32)
|
100% |
7788
92.6 IPS |
|
|
Face Detection (F16)
|
97% |
20389
242.4 IPS |
|
|
Face Detection (I8)
|
96% |
19457
231.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15942
123.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
57022
442.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
66222
513.6 IPS |
|
|
Style Transfer (F32)
|
100% |
38972
51.3 IPS |
|
|
Style Transfer (F16)
|
100% |
138613
182.3 IPS |
|
|
Style Transfer (I8)
|
100% |
131351
172.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9030
322.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34281
1.22 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35452
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3398
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3526
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
819
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1201
22.1 IPS |
|
|
Machine Translation (I8)
|
99% |
857
15.8 IPS |
