MacBook Pro (13-inch, 2022)
Geekbench ML Score
9374
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 24 2025 08:48 PM |
| Views | 2 |
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% |
3453
646.2 IPS |
|
|
Image Classification (F16)
|
100% |
9940
1.86 KIPS |
|
|
Image Classification (I8)
|
99% |
10855
2.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1333
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1952
32.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1941
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22824
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
94357
114.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
98277
119.0 IPS |
|
|
Object Detection (F32)
|
100% |
1868
139.5 IPS |
|
|
Object Detection (F16)
|
100% |
5102
380.9 IPS |
|
|
Object Detection (I8)
|
97% |
2194
163.8 IPS |
|
|
Face Detection (F32)
|
100% |
9006
107.1 IPS |
|
|
Face Detection (F16)
|
97% |
20205
240.2 IPS |
|
|
Face Detection (I8)
|
96% |
19570
232.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15836
122.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
49124
381.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
56829
440.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41056
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
147170
193.6 IPS |
|
|
Style Transfer (I8)
|
100% |
150420
197.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6718
239.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33458
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34139
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2044
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3488
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3394
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
682
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (I8)
|
99% |
704
13.0 IPS |
