MacBook Pro (13-inch, 2022)
Geekbench ML Score
3839
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 25 2024 06:26 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.38 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% |
1302
243.7 IPS |
|
|
Image Classification (F16)
|
100% |
2395
448.2 IPS |
|
|
Image Classification (I8)
|
99% |
2401
449.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
890
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1165
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1047
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6416
7.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
13820
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13716
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1240
92.6 IPS |
|
|
Object Detection (F16)
|
100% |
2480
185.1 IPS |
|
|
Object Detection (I8)
|
97% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5674
67.5 IPS |
|
|
Face Detection (I8)
|
97% |
5786
68.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5542
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11765
91.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11764
91.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18364
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27062
35.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27053
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4231
151.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4956
177.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5007
178.8 IPS |
|
|
Text Classification (F32)
|
100% |
1995
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3309
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3421
4.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1341
24.7 IPS |
