MacBook Pro (13-inch, 2022)
Geekbench ML Score
9555
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 01 2025 07:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5068b) |
| 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 | 3.22 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% |
3320
621.2 IPS |
|
|
Image Classification (F16)
|
100% |
10456
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
11257
2.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1314
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1958
32.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1484
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22636
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
94304
114.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96765
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
2846
212.5 IPS |
|
|
Object Detection (F16)
|
100% |
6083
454.1 IPS |
|
|
Object Detection (I8)
|
97% |
2883
215.2 IPS |
|
|
Face Detection (F32)
|
100% |
9078
107.9 IPS |
|
|
Face Detection (F16)
|
97% |
19281
229.3 IPS |
|
|
Face Detection (I8)
|
96% |
20213
240.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15725
121.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
40874
317.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
58301
452.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40050
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
135683
178.5 IPS |
|
|
Style Transfer (I8)
|
100% |
149419
196.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9934
354.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27014
964.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
32152
1.15 KIPS |
|
|
Text Classification (F32)
|
100% |
1897
2.73 KIPS |
|
|
Text Classification (F16)
|
100% |
3165
4.55 KIPS |
|
|
Text Classification (I8)
|
96% |
2314
3.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1004
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1067
19.6 IPS |
