MacBook Pro (13-inch, 2022)
Geekbench ML Score
9449
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 14 2025 08:17 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.23 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% |
3494
653.8 IPS |
|
|
Image Classification (F16)
|
100% |
10249
1.92 KIPS |
|
|
Image Classification (I8)
|
99% |
10901
2.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1233
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1727
28.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1887
31.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23050
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
94697
114.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
89073
107.9 IPS |
|
|
Object Detection (F32)
|
100% |
2718
202.9 IPS |
|
|
Object Detection (F16)
|
100% |
5161
385.3 IPS |
|
|
Object Detection (I8)
|
97% |
2845
212.4 IPS |
|
|
Face Detection (F32)
|
100% |
8988
106.9 IPS |
|
|
Face Detection (F16)
|
97% |
16170
192.3 IPS |
|
|
Face Detection (I8)
|
96% |
17780
211.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15537
120.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
55279
428.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
61283
475.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40074
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
136750
179.9 IPS |
|
|
Style Transfer (I8)
|
100% |
139151
183.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6970
248.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35164
1.26 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32558
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2055
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3457
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3138
4.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
744
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
784
14.4 IPS |
