MacBook Pro (13-inch, 2022)
Geekbench ML Score
3864
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 19 2025 06:19 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.47 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% |
1378
257.9 IPS |
|
|
Image Classification (F16)
|
100% |
2506
468.9 IPS |
|
|
Image Classification (I8)
|
99% |
2512
470.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
855
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1124
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6530
7.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
14263
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14319
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1438
107.4 IPS |
|
|
Object Detection (F16)
|
100% |
2470
184.4 IPS |
|
|
Object Detection (I8)
|
97% |
1436
107.2 IPS |
|
|
Face Detection (F32)
|
100% |
3083
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5883
70.0 IPS |
|
|
Face Detection (I8)
|
97% |
5775
68.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5722
44.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11756
91.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11719
90.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18115
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27821
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28042
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4207
150.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4816
172.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5000
178.6 IPS |
|
|
Text Classification (F32)
|
100% |
1927
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3529
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3472
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1261
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1360
25.0 IPS |
