MacBook Pro (13-inch, 2022)
Geekbench ML Score
3825
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 07:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1293
242.0 IPS |
|
|
Image Classification (F16)
|
100% |
2354
440.4 IPS |
|
|
Image Classification (I8)
|
99% |
2389
447.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1131
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1027
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6304
7.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
13979
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14173
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1445
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
2469
184.4 IPS |
|
|
Object Detection (I8)
|
97% |
1371
102.4 IPS |
|
|
Face Detection (F32)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (F16)
|
97% |
5750
68.4 IPS |
|
|
Face Detection (I8)
|
97% |
5614
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5586
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11624
90.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11684
90.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17957
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
26885
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28061
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4246
151.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4939
176.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4955
176.9 IPS |
|
|
Text Classification (F32)
|
100% |
1935
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3321
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3389
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1326
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1649
30.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1328
24.4 IPS |
