MacBook Pro (13-inch, 2022)
Geekbench ML Score
3817
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 20 2025 06:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1328
248.6 IPS |
|
|
Image Classification (F16)
|
100% |
2492
466.4 IPS |
|
|
Image Classification (I8)
|
99% |
2474
463.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
838
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1007
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1009
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6476
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
14262
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14180
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1422
106.2 IPS |
|
|
Object Detection (F16)
|
100% |
2453
183.1 IPS |
|
|
Object Detection (I8)
|
97% |
1430
106.8 IPS |
|
|
Face Detection (F32)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5583
66.4 IPS |
|
|
Face Detection (I8)
|
97% |
5715
68.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5643
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11142
86.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11314
87.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18227
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27637
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27713
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4077
145.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4977
177.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5021
179.3 IPS |
|
|
Text Classification (F32)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3334
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3240
4.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1599
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1334
24.5 IPS |
