MacBook Pro M2 8-core (13-inch, 2022) 16GB/1TB SSD Konopek Laptop 2023 MacBook Pro (13-inch, 2022)
Geekbench AI Score
3408
Single Precision Score
5923
Half Precision Score
4763
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | konopek1971 |
| Upload Date | December 08 2024 03:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2461
457.7 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2797
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6601
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
14689
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12564
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2712
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
1966
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5855
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3370
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11651
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7676
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17821
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28905
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23969
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4135
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3599
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5961
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6014
103.9 IPS |
