MacBook Pro (13-inch, 2022)
Geekbench ML Score
3820
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:49 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.29 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1233
230.8 IPS |
|
|
Image Classification (F16)
|
100% |
2308
431.9 IPS |
|
|
Image Classification (I8)
|
99% |
1988
372.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
870
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1134
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1025
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6355
7.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
13907
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14043
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1461
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
2476
184.9 IPS |
|
|
Object Detection (I8)
|
97% |
1435
107.1 IPS |
|
|
Face Detection (F32)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (F16)
|
97% |
5978
71.1 IPS |
|
|
Face Detection (I8)
|
97% |
5910
70.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5633
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11736
91.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11676
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18309
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27058
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26700
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4175
149.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4979
177.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4944
176.6 IPS |
|
|
Text Classification (F32)
|
100% |
1991
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3260
4.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3368
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1658
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1335
24.6 IPS |
