MacBook Pro (13-inch, 2022)
Geekbench ML Score
9129
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 27 2025 08:25 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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% |
2210
413.5 IPS |
|
|
Image Classification (F16)
|
100% |
6741
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
8700
1.63 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1391
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1908
31.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1830
30.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23253
28.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
93821
113.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
68099
82.5 IPS |
|
|
Object Detection (F32)
|
100% |
1737
129.7 IPS |
|
|
Object Detection (F16)
|
100% |
5567
415.6 IPS |
|
|
Object Detection (I8)
|
97% |
2772
207.0 IPS |
|
|
Face Detection (F32)
|
100% |
8741
103.9 IPS |
|
|
Face Detection (F16)
|
97% |
19444
231.2 IPS |
|
|
Face Detection (I8)
|
96% |
19546
232.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16237
125.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
49428
383.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
48973
379.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40403
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
143659
189.0 IPS |
|
|
Style Transfer (I8)
|
100% |
136900
180.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7117
254.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
30909
1.10 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34423
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
2096
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3474
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3428
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
899
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1364
25.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1079
19.9 IPS |
