MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10725
Single Precision Score
12242
Half Precision Score
10288
Quantized Score
Geekbench AI 1.4.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 25 2025 12:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5643
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
5915
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
5143
959.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7162
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8653
140.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8867
143.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35118
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
36576
42.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
34963
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
5522
438.0 IPS |
|
|
Object Detection (HP)
|
100% |
5837
463.0 IPS |
|
|
Object Detection (Q)
|
91% |
5004
399.8 IPS |
|
|
Face Detection (SP)
|
100% |
16503
196.1 IPS |
|
|
Face Detection (HP)
|
100% |
19605
233.0 IPS |
|
|
Face Detection (Q)
|
100% |
14220
169.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23295
179.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24686
190.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21126
165.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77888
100.1 IPS |
|
|
Style Transfer (HP)
|
100% |
87030
111.9 IPS |
|
|
Style Transfer (Q)
|
96% |
81433
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14579
538.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15027
554.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11593
428.1 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4839
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4797
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1224
21.2 IPS |
