MacBook Pro (13-inch, 2022)
Geekbench ML Score
9727
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 21 2025 05:08 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.48 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% |
3345
625.9 IPS |
|
|
Image Classification (F16)
|
100% |
10594
1.98 KIPS |
|
|
Image Classification (I8)
|
99% |
11158
2.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1385
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1846
30.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1920
32.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22955
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
66629
80.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
90166
109.2 IPS |
|
|
Object Detection (F32)
|
100% |
2469
184.3 IPS |
|
|
Object Detection (F16)
|
100% |
5414
404.2 IPS |
|
|
Object Detection (I8)
|
97% |
2836
211.7 IPS |
|
|
Face Detection (F32)
|
100% |
8879
105.6 IPS |
|
|
Face Detection (F16)
|
97% |
19913
236.8 IPS |
|
|
Face Detection (I8)
|
96% |
15941
189.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15950
123.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
44985
348.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
67639
524.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40866
53.8 IPS |
|
|
Style Transfer (F16)
|
100% |
149031
196.0 IPS |
|
|
Style Transfer (I8)
|
100% |
139135
183.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8203
293.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35148
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32503
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3449
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3491
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1026
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1074
19.8 IPS |
