MacBook Pro (13-inch, 2022)
Geekbench ML Score
9425
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 27 2025 06:05 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.47 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% |
2022
378.3 IPS |
|
|
Image Classification (F16)
|
100% |
10819
2.02 KIPS |
|
|
Image Classification (I8)
|
99% |
11569
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1424
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1555
26.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1618
27.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
17945
21.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
94148
114.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
97104
117.6 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
5582
416.7 IPS |
|
|
Object Detection (I8)
|
97% |
1880
140.3 IPS |
|
|
Face Detection (F32)
|
100% |
8514
101.2 IPS |
|
|
Face Detection (F16)
|
97% |
20047
238.4 IPS |
|
|
Face Detection (I8)
|
96% |
19698
234.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16494
127.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
46339
359.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
56147
435.4 IPS |
|
|
Style Transfer (F32)
|
100% |
38120
50.1 IPS |
|
|
Style Transfer (F16)
|
100% |
147756
194.4 IPS |
|
|
Style Transfer (I8)
|
100% |
141171
185.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7662
273.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
34472
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33479
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
1891
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
3564
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3519
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1411
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1091
20.1 IPS |
