MacBook Pro (13-inch, 2022)
Geekbench ML Score
3760
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 07 2025 05:55 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.45 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% |
1327
248.2 IPS |
|
|
Image Classification (F16)
|
100% |
2399
449.0 IPS |
|
|
Image Classification (I8)
|
99% |
2361
441.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
981
16.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1102
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5945
7.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
12764
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14112
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1334
99.6 IPS |
|
|
Object Detection (F16)
|
100% |
2285
170.6 IPS |
|
|
Object Detection (I8)
|
97% |
1215
90.7 IPS |
|
|
Face Detection (F32)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5713
67.9 IPS |
|
|
Face Detection (I8)
|
97% |
5726
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5467
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11038
85.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10618
82.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17793
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28423
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28437
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4002
142.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4997
178.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4993
178.3 IPS |
|
|
Text Classification (F32)
|
100% |
2048
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3607
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
3566
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1384
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1620
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1374
25.3 IPS |
