MacBook Pro (14-inch, 2023)
Geekbench AI Score
4183
Single Precision Score
27086
Half Precision Score
30481
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | November 07 2024 11:08 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
14280
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
17417
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19506
316.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24324
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12764
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106069
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104173
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
99% |
15219
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16774
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
36222
430.4 IPS |
|
|
Face Detection (Q)
|
100% |
45307
538.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6411
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87340
672.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108889
850.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24934
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204062
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189546
244.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40969
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48777
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5103
88.2 IPS |
