MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13235
Single Precision Score
15512
Half Precision Score
13805
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | thegreatwhitejb |
| Upload Date | February 14 2026 02:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6442
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
7092
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6381
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10778
174.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12097
196.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11421
185.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
43049
50.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49111
57.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46867
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
6051
480.0 IPS |
|
|
Object Detection (HP)
|
100% |
6335
502.5 IPS |
|
|
Object Detection (Q)
|
92% |
6059
483.7 IPS |
|
|
Face Detection (SP)
|
100% |
17263
205.1 IPS |
|
|
Face Detection (HP)
|
100% |
22644
269.1 IPS |
|
|
Face Detection (Q)
|
100% |
18579
220.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27483
211.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30251
233.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
27531
215.0 IPS |
|
|
Style Transfer (SP)
|
100% |
90381
116.2 IPS |
|
|
Style Transfer (HP)
|
100% |
106887
137.4 IPS |
|
|
Style Transfer (Q)
|
96% |
103015
132.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14943
551.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16254
600.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13745
507.5 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5030
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5066
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3311
57.2 IPS |
