MacBook Pro (14-inch, 2023)
Geekbench AI Score
2273
Single Precision Score
15053
Half Precision Score
17041
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ntompson |
| Upload Date | December 16 2024 10:38 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1081
201.0 IPS |
|
|
Image Classification (HP)
|
100% |
7851
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
8404
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5130
83.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8743
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11089
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
92599
108.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
89147
104.5 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.3 IPS |
|
|
Object Detection (HP)
|
99% |
9116
725.2 IPS |
|
|
Object Detection (Q)
|
93% |
10087
804.9 IPS |
|
|
Face Detection (SP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
11688
138.9 IPS |
|
|
Face Detection (Q)
|
100% |
13694
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3861
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55669
428.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
67545
527.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13076
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
144936
186.3 IPS |
|
|
Style Transfer (Q)
|
95% |
133667
172.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2367
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21054
777.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28441
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2227
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2209
38.2 IPS |
