MacBook Pro (14-inch, 2023)
Geekbench AI Score
10314
Single Precision Score
11221
Half Precision Score
9909
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | samuelks |
| Upload Date | January 28 2025 04:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.36 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5400
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5420
1.01 KIPS |
|
|
Image Classification (Q)
|
97% |
4492
838.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7398
119.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7422
120.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7415
120.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37148
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
39588
46.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
36813
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4989
395.7 IPS |
|
|
Object Detection (HP)
|
100% |
5079
402.9 IPS |
|
|
Object Detection (Q)
|
91% |
4280
342.0 IPS |
|
|
Face Detection (SP)
|
100% |
16994
201.9 IPS |
|
|
Face Detection (HP)
|
100% |
18024
214.2 IPS |
|
|
Face Detection (Q)
|
100% |
12788
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24739
190.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25763
198.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21357
166.9 IPS |
|
|
Style Transfer (SP)
|
100% |
69252
89.0 IPS |
|
|
Style Transfer (HP)
|
100% |
75583
97.2 IPS |
|
|
Style Transfer (Q)
|
96% |
70766
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13666
504.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14575
538.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11437
422.3 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1999
34.5 IPS |
