MacBook Pro (13-inch, 2022)
Geekbench ML Score
9591
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2025 06:41 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 3.46 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% |
3180
595.2 IPS |
|
|
Image Classification (F16)
|
100% |
10964
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11896
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1200
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1954
32.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1926
32.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
20351
24.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
92063
111.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
96761
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2764
206.4 IPS |
|
|
Object Detection (F16)
|
100% |
5371
401.0 IPS |
|
|
Object Detection (I8)
|
97% |
1851
138.2 IPS |
|
|
Face Detection (F32)
|
100% |
8483
100.9 IPS |
|
|
Face Detection (F16)
|
97% |
16918
201.2 IPS |
|
|
Face Detection (I8)
|
96% |
20265
241.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15820
122.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
58822
456.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
46493
360.6 IPS |
|
|
Style Transfer (F32)
|
100% |
33360
43.9 IPS |
|
|
Style Transfer (F16)
|
100% |
140043
184.2 IPS |
|
|
Style Transfer (I8)
|
100% |
147015
193.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8752
312.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35165
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33924
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2078
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3430
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3421
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1285
23.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1030
19.0 IPS |
