MacBook Pro (13-inch, 2022)
Geekbench ML Score
9371
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 28 2025 07:41 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 2.84 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% |
1763
330.0 IPS |
|
|
Image Classification (F16)
|
100% |
8786
1.64 KIPS |
|
|
Image Classification (I8)
|
99% |
11979
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1322
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1911
31.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1932
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22725
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
87983
106.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
95922
116.2 IPS |
|
|
Object Detection (F32)
|
100% |
2829
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
5250
391.9 IPS |
|
|
Object Detection (I8)
|
97% |
2859
213.4 IPS |
|
|
Face Detection (F32)
|
100% |
9313
110.7 IPS |
|
|
Face Detection (F16)
|
97% |
16550
196.8 IPS |
|
|
Face Detection (I8)
|
96% |
20446
243.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
14155
109.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
55079
427.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
65529
508.2 IPS |
|
|
Style Transfer (F32)
|
100% |
39407
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
127502
167.7 IPS |
|
|
Style Transfer (I8)
|
100% |
143078
188.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7325
261.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33753
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
28781
1.03 KIPS |
|
|
Text Classification (F32)
|
100% |
2035
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3407
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3240
4.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1367
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
829
15.3 IPS |
