MacBook Pro (13-inch, 2022)
Geekbench ML Score
9862
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 29 2025 06:44 PM |
| Views | 4 |
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 | 3.30 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% |
3432
642.2 IPS |
|
|
Image Classification (F16)
|
100% |
10232
1.91 KIPS |
|
|
Image Classification (I8)
|
99% |
11639
2.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1385
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1819
30.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2014
33.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23671
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
87809
106.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
73235
88.7 IPS |
|
|
Object Detection (F32)
|
100% |
2769
206.7 IPS |
|
|
Object Detection (F16)
|
100% |
4899
365.7 IPS |
|
|
Object Detection (I8)
|
97% |
2822
210.6 IPS |
|
|
Face Detection (F32)
|
100% |
8928
106.2 IPS |
|
|
Face Detection (F16)
|
97% |
18521
220.2 IPS |
|
|
Face Detection (I8)
|
96% |
18086
215.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16385
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
64172
497.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
72235
560.2 IPS |
|
|
Style Transfer (F32)
|
100% |
41025
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
145695
191.6 IPS |
|
|
Style Transfer (I8)
|
100% |
145999
192.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8734
311.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35208
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
35350
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
2049
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3416
4.91 KIPS |
|
|
Text Classification (I8)
|
96% |
3428
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1394
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
871
16.0 IPS |
