MacBook Pro (13-inch, 2022)
Geekbench AI Score
6629
Single Precision Score
7528
Half Precision Score
6631
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 24 2024 10:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3683
684.9 IPS |
|
|
Image Classification (HP)
|
100% |
3694
687.0 IPS |
|
|
Image Classification (Q)
|
97% |
3049
568.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3953
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5059
82.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5165
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24584
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26370
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24470
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3465
274.8 IPS |
|
|
Object Detection (HP)
|
100% |
3720
295.1 IPS |
|
|
Object Detection (Q)
|
91% |
3106
248.2 IPS |
|
|
Face Detection (SP)
|
100% |
10254
121.8 IPS |
|
|
Face Detection (HP)
|
100% |
11961
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
8284
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16607
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17897
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14770
115.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42708
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49035
63.0 IPS |
|
|
Style Transfer (Q)
|
96% |
45455
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9876
364.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10176
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8020
296.1 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
823
14.2 IPS |
