MacBook Pro (13-inch, 2022)
Geekbench ML Score
3806
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 01 2024 04:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1322
247.3 IPS |
|
|
Image Classification (F16)
|
100% |
2385
446.4 IPS |
|
|
Image Classification (I8)
|
99% |
2368
443.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
839
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1178
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
970
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6028
7.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
14007
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13858
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
2304
172.0 IPS |
|
|
Object Detection (I8)
|
97% |
1376
102.7 IPS |
|
|
Face Detection (F32)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (F16)
|
97% |
5901
70.2 IPS |
|
|
Face Detection (I8)
|
97% |
5714
67.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5438
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11615
90.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11631
90.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18021
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27304
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27195
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4220
150.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4962
177.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5031
179.7 IPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3289
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3268
4.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1608
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1335
24.6 IPS |
