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 | October 01 2025 07:10 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
3373
631.2 IPS |
|
|
Image Classification (F16)
|
100% |
9893
1.85 KIPS |
|
|
Image Classification (I8)
|
99% |
11458
2.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1188
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2018
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1905
31.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22357
27.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
93856
113.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
94870
114.9 IPS |
|
|
Object Detection (F32)
|
100% |
2780
207.6 IPS |
|
|
Object Detection (F16)
|
100% |
5565
415.5 IPS |
|
|
Object Detection (I8)
|
97% |
2354
175.8 IPS |
|
|
Face Detection (F32)
|
100% |
6769
80.5 IPS |
|
|
Face Detection (F16)
|
97% |
18920
225.0 IPS |
|
|
Face Detection (I8)
|
96% |
18497
219.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15793
122.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
44319
343.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
44878
348.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40646
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
137150
180.4 IPS |
|
|
Style Transfer (I8)
|
100% |
145011
190.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6882
245.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35056
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35310
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2079
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3425
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3499
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1398
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
870
16.0 IPS |
