MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10518
Single Precision Score
12184
Half Precision Score
10882
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | berkctezc |
| Upload Date | February 05 2025 06:14 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5687
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5825
1.08 KIPS |
|
|
Image Classification (Q)
|
97% |
4927
919.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6676
108.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8562
138.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8919
144.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
34823
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36846
43.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
34966
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
5512
437.2 IPS |
|
|
Object Detection (HP)
|
100% |
5895
467.6 IPS |
|
|
Object Detection (Q)
|
91% |
4993
399.0 IPS |
|
|
Face Detection (SP)
|
100% |
15833
188.1 IPS |
|
|
Face Detection (HP)
|
100% |
19382
230.3 IPS |
|
|
Face Detection (Q)
|
100% |
14312
170.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22692
174.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24625
189.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20859
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77260
99.3 IPS |
|
|
Style Transfer (HP)
|
100% |
86675
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
81199
104.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13720
506.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14951
552.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11663
430.6 IPS |
|
|
Text Classification (SP)
|
100% |
2798
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4900
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4897
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2197
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2193
37.9 IPS |
