MacBook Pro (13-inch, 2022)
Geekbench ML Score
9461
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 20 2025 08:57 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3353
627.4 IPS |
|
|
Image Classification (F16)
|
100% |
10527
1.97 KIPS |
|
|
Image Classification (I8)
|
99% |
10883
2.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1327
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1989
33.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2000
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22997
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
92889
112.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
96375
116.7 IPS |
|
|
Object Detection (F32)
|
100% |
2827
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
5768
430.7 IPS |
|
|
Object Detection (I8)
|
97% |
2031
151.6 IPS |
|
|
Face Detection (F32)
|
100% |
9006
107.1 IPS |
|
|
Face Detection (F16)
|
97% |
18156
215.9 IPS |
|
|
Face Detection (I8)
|
96% |
16836
200.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12270
95.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
63597
493.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
63298
490.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41071
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
134795
177.3 IPS |
|
|
Style Transfer (I8)
|
100% |
139392
183.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7595
271.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32685
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32345
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
1778
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
3490
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3449
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
759
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1413
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
711
13.1 IPS |
