MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13634
Single Precision Score
16028
Half Precision Score
14817
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | billyfa |
| Upload Date | March 06 2026 11:24 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6534
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
7048
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6478
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10802
175.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11919
193.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11414
185.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
43947
51.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49148
57.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
47252
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
6047
479.6 IPS |
|
|
Object Detection (HP)
|
100% |
6373
505.5 IPS |
|
|
Object Detection (Q)
|
91% |
6083
486.2 IPS |
|
|
Face Detection (SP)
|
100% |
18208
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
24194
287.5 IPS |
|
|
Face Detection (Q)
|
100% |
22379
265.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27160
209.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29979
231.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
28504
223.0 IPS |
|
|
Style Transfer (SP)
|
100% |
92324
118.7 IPS |
|
|
Style Transfer (HP)
|
100% |
106962
137.5 IPS |
|
|
Style Transfer (Q)
|
96% |
102554
132.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14544
537.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16081
593.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13696
505.7 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5250
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
4953
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5951
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6495
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5408
93.5 IPS |
