MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11918
Single Precision Score
13781
Half Precision Score
12742
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | logowerbung |
| Upload Date | December 22 2025 05:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5768
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5562
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9574
155.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10430
169.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9668
156.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33672
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
37700
44.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
36609
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
5539
439.3 IPS |
|
|
Object Detection (HP)
|
100% |
5850
464.0 IPS |
|
|
Object Detection (Q)
|
92% |
5483
437.7 IPS |
|
|
Face Detection (SP)
|
100% |
16572
196.9 IPS |
|
|
Face Detection (HP)
|
100% |
20709
246.1 IPS |
|
|
Face Detection (Q)
|
100% |
16803
199.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22873
176.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25067
193.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
23041
180.0 IPS |
|
|
Style Transfer (SP)
|
100% |
76431
98.3 IPS |
|
|
Style Transfer (HP)
|
100% |
87290
112.2 IPS |
|
|
Style Transfer (Q)
|
96% |
84777
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13616
502.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14806
546.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12569
464.1 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5160
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5150
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4897
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4923
85.1 IPS |
