MacBook Pro (14-inch, 2023)
Geekbench AI Score
4211
Single Precision Score
27125
Half Precision Score
30218
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | niklog |
| Upload Date | February 15 2025 01:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
14772
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
17229
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1718
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19921
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24707
400.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12897
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106306
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104251
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.2 IPS |
|
|
Object Detection (HP)
|
99% |
15500
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16783
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
35671
423.9 IPS |
|
|
Face Detection (Q)
|
100% |
45948
546.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6403
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87906
677.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108954
851.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24927
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204643
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190241
245.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41344
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50599
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4643
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4177
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4440
76.7 IPS |
