MacBook Pro (14-inch, 2023)
Geekbench AI Score
3264
Single Precision Score
5188
Half Precision Score
3990
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zpjet |
| Upload Date | December 26 2024 07:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1092
203.2 IPS |
|
|
Image Classification (HP)
|
100% |
1712
318.5 IPS |
|
|
Image Classification (Q)
|
96% |
1219
227.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2131
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9800
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19337
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14792
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
97% |
2125
169.2 IPS |
|
|
Object Detection (Q)
|
94% |
1449
115.5 IPS |
|
|
Face Detection (SP)
|
100% |
2731
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (Q)
|
100% |
2555
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4876
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9431
72.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6255
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19612
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30579
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23478
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5423
200.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3504
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2903
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4855
83.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4820
83.3 IPS |
