MacBook Pro (13-inch, 2022)
Geekbench ML Score
9624
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 05 2025 06:37 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.46 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% |
3330
623.2 IPS |
|
|
Image Classification (F16)
|
100% |
10788
2.02 KIPS |
|
|
Image Classification (I8)
|
99% |
12798
2.39 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1247
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2017
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1976
33.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23212
28.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
96066
116.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
98575
119.4 IPS |
|
|
Object Detection (F32)
|
100% |
2111
157.6 IPS |
|
|
Object Detection (F16)
|
100% |
5474
408.7 IPS |
|
|
Object Detection (I8)
|
97% |
2637
196.9 IPS |
|
|
Face Detection (F32)
|
100% |
9028
107.3 IPS |
|
|
Face Detection (F16)
|
97% |
18401
218.8 IPS |
|
|
Face Detection (I8)
|
96% |
16348
194.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15863
123.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
48742
378.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
50256
389.7 IPS |
|
|
Style Transfer (F32)
|
100% |
34838
45.8 IPS |
|
|
Style Transfer (F16)
|
100% |
145917
191.9 IPS |
|
|
Style Transfer (I8)
|
100% |
147063
193.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8729
311.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33583
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37000
1.32 KIPS |
|
|
Text Classification (F32)
|
100% |
1860
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
3427
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3525
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
876
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
878
16.2 IPS |
