MacBook Pro (13-inch, 2022)
Geekbench AI Score
3448
Single Precision Score
5926
Half Precision Score
4821
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 27 2024 09:50 PM |
| Views | 4 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
2486
462.4 IPS |
|
|
Image Classification (Q)
|
96% |
1740
324.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2823
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6875
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14889
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12861
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2840
226.1 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5965
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3514
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5638
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11640
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8025
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18672
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28553
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23792
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4090
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3780
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5789
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5885
101.7 IPS |
