MacBook Pro (13-inch, 2022)
Geekbench AI Score
3403
Single Precision Score
5865
Half Precision Score
4772
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | October 11 2024 02:56 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2455
456.5 IPS |
|
|
Image Classification (Q)
|
96% |
1714
320.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6803
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14895
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12836
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2831
225.4 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5841
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3462
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11599
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8031
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18660
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27042
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23886
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4884
180.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3563
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3589
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5910
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5730
99.0 IPS |
