MacBook Pro (13-inch, 2022)
Geekbench ML Score
3697
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 16 2025 06:24 PM |
| Views | 7 |
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 | 3.11 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% |
1187
222.2 IPS |
|
|
Image Classification (F16)
|
100% |
2080
389.2 IPS |
|
|
Image Classification (I8)
|
99% |
2319
433.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1008
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
935
15.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5645
6.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
14032
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13946
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1406
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
2457
183.5 IPS |
|
|
Object Detection (I8)
|
97% |
1387
103.5 IPS |
|
|
Face Detection (F32)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5773
68.6 IPS |
|
|
Face Detection (I8)
|
97% |
5803
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5716
44.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9405
72.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10553
81.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17241
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27133
35.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27186
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4064
145.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4774
170.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4913
175.5 IPS |
|
|
Text Classification (F32)
|
100% |
2084
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3438
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3428
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1303
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1594
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1355
24.9 IPS |
