MacBook Pro (13-inch, 2022)
Geekbench AI Score
3436
Single Precision Score
28015
Half Precision Score
31381
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 27 2024 09:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
14934
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15867
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19024
308.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23645
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6829
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
106400
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105365
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
99% |
15790
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17990
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33934
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
43183
513.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88171
679.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108837
850.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18699
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201935
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195949
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41096
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51144
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6692
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7399
127.9 IPS |
