MacBook Pro (13-inch, 2022) - AI - CPU MacBook Pro (13-inch, 2022)
Geekbench AI Score
3521
Single Precision Score
6041
Half Precision Score
4886
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ghostiman |
| Upload Date | December 13 2024 11:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
96% |
1779
332.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2891
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6914
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15019
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12978
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2892
230.2 IPS |
|
|
Object Detection (Q)
|
94% |
2090
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6077
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3549
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5788
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11706
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8105
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18912
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28952
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24018
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4137
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3636
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3786
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5885
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5881
101.6 IPS |
