MacBook Pro (14-inch, 2023)
Geekbench AI Score
11166
Single Precision Score
12114
Half Precision Score
10168
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | krish1108 |
| Upload Date | February 26 2025 03:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5282
982.2 IPS |
|
|
Image Classification (HP)
|
100% |
5374
999.4 IPS |
|
|
Image Classification (Q)
|
97% |
4569
852.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8101
131.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8062
130.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8047
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
44868
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
47411
55.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
44049
51.6 IPS |
|
|
Object Detection (SP)
|
100% |
4984
395.4 IPS |
|
|
Object Detection (HP)
|
100% |
5060
401.4 IPS |
|
|
Object Detection (Q)
|
91% |
4252
339.7 IPS |
|
|
Face Detection (SP)
|
100% |
18151
215.7 IPS |
|
|
Face Detection (HP)
|
100% |
19294
229.3 IPS |
|
|
Face Detection (Q)
|
100% |
13919
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25630
197.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26608
205.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
22300
174.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79992
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
85488
109.9 IPS |
|
|
Style Transfer (Q)
|
96% |
79805
103.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17383
641.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18100
668.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14857
548.6 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1175
20.3 IPS |
