MacBook Pro (13-inch, 2022)
Geekbench ML Score
3775
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 08:40 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.47 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% |
1347
252.0 IPS |
|
|
Image Classification (F16)
|
100% |
2417
452.3 IPS |
|
|
Image Classification (I8)
|
99% |
2313
432.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1034
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1159
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6583
7.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
11534
14.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14332
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1380
103.1 IPS |
|
|
Object Detection (F16)
|
100% |
2291
171.0 IPS |
|
|
Object Detection (I8)
|
97% |
1378
102.9 IPS |
|
|
Face Detection (F32)
|
100% |
2958
35.2 IPS |
|
|
Face Detection (F16)
|
97% |
5807
69.0 IPS |
|
|
Face Detection (I8)
|
96% |
5367
63.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5244
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11021
85.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10670
82.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18222
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28566
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28459
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4065
145.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5023
179.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5086
181.6 IPS |
|
|
Text Classification (F32)
|
100% |
2055
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3467
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3415
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1330
24.5 IPS |
