MacBook Pro (13-inch, 2022)
Geekbench ML Score
3786
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 24 2024 06:11 PM |
| Views | 3 |
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 | 3.47 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% |
1326
248.2 IPS |
|
|
Image Classification (F16)
|
100% |
2334
436.8 IPS |
|
|
Image Classification (I8)
|
99% |
1834
343.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
793
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1031
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1160
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6597
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
14142
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13996
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1397
104.3 IPS |
|
|
Object Detection (F16)
|
100% |
2350
175.4 IPS |
|
|
Object Detection (I8)
|
97% |
1404
104.8 IPS |
|
|
Face Detection (F32)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (F16)
|
97% |
5961
70.9 IPS |
|
|
Face Detection (I8)
|
97% |
5823
69.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5575
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11782
91.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11100
86.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17178
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
27494
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27990
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4181
149.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4779
170.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4929
176.0 IPS |
|
|
Text Classification (F32)
|
100% |
1913
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
3354
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3360
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1394
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1607
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1396
25.7 IPS |
