MacBook Pro (13-inch, 2022)
Geekbench ML Score
7263
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 22 2024 09:06 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 3.48 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3652
683.3 IPS |
|
|
Image Classification (F16)
|
100% |
7098
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
7467
1.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1612
26.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1594
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23736
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
73222
88.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
83173
100.7 IPS |
|
|
Object Detection (F32)
|
100% |
2988
223.1 IPS |
|
|
Object Detection (F16)
|
100% |
3915
292.3 IPS |
|
|
Object Detection (I8)
|
97% |
2734
204.1 IPS |
|
|
Face Detection (F32)
|
100% |
9623
114.4 IPS |
|
|
Face Detection (F16)
|
97% |
14842
176.5 IPS |
|
|
Face Detection (I8)
|
96% |
13787
163.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16715
129.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
35079
272.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
44158
342.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41305
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
134818
177.3 IPS |
|
|
Style Transfer (I8)
|
100% |
135814
178.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6885
245.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18314
654.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19033
679.7 IPS |
|
|
Text Classification (F32)
|
100% |
703
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
594
853.8 IPS |
|
|
Text Classification (I8)
|
96% |
617
886.7 IPS |
|
|
Machine Translation (F32)
|
100% |
685
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2057
37.9 IPS |
|
|
Machine Translation (I8)
|
99% |
646
11.9 IPS |
