MacBook Pro (13-inch, 2022)
Geekbench ML Score
10269
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 24 2025 07:02 PM |
| Views | 2 |
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 | 3.37 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% |
3297
617.0 IPS |
|
|
Image Classification (F16)
|
100% |
10685
2.00 KIPS |
|
|
Image Classification (I8)
|
99% |
11867
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1628
27.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1998
33.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1990
33.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23107
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
93793
113.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
96434
116.8 IPS |
|
|
Object Detection (F32)
|
100% |
2816
210.2 IPS |
|
|
Object Detection (F16)
|
100% |
5491
409.9 IPS |
|
|
Object Detection (I8)
|
97% |
2817
210.3 IPS |
|
|
Face Detection (F32)
|
100% |
9396
111.7 IPS |
|
|
Face Detection (F16)
|
97% |
20311
241.5 IPS |
|
|
Face Detection (I8)
|
96% |
20467
243.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16304
126.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
64630
501.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
67982
527.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40534
53.3 IPS |
|
|
Style Transfer (F16)
|
100% |
141907
186.7 IPS |
|
|
Style Transfer (I8)
|
100% |
125119
164.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8262
295.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35393
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36350
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3399
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1099
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1408
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1098
20.2 IPS |
