MacBook Pro (13-inch, 2022)
Geekbench ML Score
6023
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 11 2025 07:23 PM |
| Views | 4 |
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 | 3.48 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3418
639.6 IPS |
|
|
Image Classification (F16)
|
100% |
3347
626.3 IPS |
|
|
Image Classification (I8)
|
99% |
3351
627.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1469
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1472
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22917
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
24836
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24560
29.7 IPS |
|
|
Object Detection (F32)
|
100% |
2832
211.5 IPS |
|
|
Object Detection (F16)
|
100% |
2879
214.9 IPS |
|
|
Object Detection (I8)
|
97% |
2844
212.3 IPS |
|
|
Face Detection (F32)
|
100% |
9032
107.4 IPS |
|
|
Face Detection (F16)
|
98% |
10086
119.9 IPS |
|
|
Face Detection (I8)
|
97% |
10091
120.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16427
127.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17416
135.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
17326
134.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41225
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
47171
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
46886
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9406
335.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9626
343.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10006
357.3 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3497
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3487
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
891
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
888
16.3 IPS |
|
|
Machine Translation (I8)
|
99% |
891
16.4 IPS |
