MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13135
Single Precision Score
15457
Half Precision Score
14267
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | stuartcampbell |
| Upload Date | November 18 2025 11:19 PM |
| Views | 3 |
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, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6371
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6739
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6154
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10609
172.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11883
192.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11279
182.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
43357
50.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48952
57.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
47458
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
6085
482.7 IPS |
|
|
Object Detection (HP)
|
100% |
6420
509.2 IPS |
|
|
Object Detection (Q)
|
92% |
6001
479.0 IPS |
|
|
Face Detection (SP)
|
100% |
16028
190.5 IPS |
|
|
Face Detection (HP)
|
100% |
22316
265.2 IPS |
|
|
Face Detection (Q)
|
100% |
17951
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27441
211.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30231
232.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
27384
213.9 IPS |
|
|
Style Transfer (SP)
|
100% |
89708
115.3 IPS |
|
|
Style Transfer (HP)
|
100% |
106475
136.9 IPS |
|
|
Style Transfer (Q)
|
96% |
102399
132.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15170
560.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16093
594.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13944
514.9 IPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5323
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5030
86.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4925
85.1 IPS |
