MacBook Pro (13-inch, 2022)
Geekbench ML Score
9562
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 23 2025 07:01 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
3392
634.7 IPS |
|
|
Image Classification (F16)
|
100% |
10428
1.95 KIPS |
|
|
Image Classification (I8)
|
99% |
11698
2.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1546
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1804
30.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1947
32.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23046
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
93764
113.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
86730
105.0 IPS |
|
|
Object Detection (F32)
|
100% |
2271
169.5 IPS |
|
|
Object Detection (F16)
|
100% |
4977
371.5 IPS |
|
|
Object Detection (I8)
|
97% |
2819
210.4 IPS |
|
|
Face Detection (F32)
|
100% |
9227
109.7 IPS |
|
|
Face Detection (F16)
|
97% |
19526
232.2 IPS |
|
|
Face Detection (I8)
|
96% |
17311
205.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16222
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
44643
346.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
47459
368.0 IPS |
|
|
Style Transfer (F32)
|
100% |
27567
36.3 IPS |
|
|
Style Transfer (F16)
|
100% |
141510
186.1 IPS |
|
|
Style Transfer (I8)
|
100% |
138282
181.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9235
329.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33818
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34817
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2016
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3328
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3320
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1050
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1394
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
950
17.5 IPS |
