MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11910
Single Precision Score
13797
Half Precision Score
12706
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | advantis |
| Upload Date | February 08 2026 10:02 AM |
| Views | 6 |
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, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5887
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6413
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5688
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9355
151.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10209
165.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9915
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33774
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
37749
44.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
36675
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
5578
442.4 IPS |
|
|
Object Detection (HP)
|
100% |
6059
480.6 IPS |
|
|
Object Detection (Q)
|
92% |
5589
446.1 IPS |
|
|
Face Detection (SP)
|
100% |
16557
196.7 IPS |
|
|
Face Detection (HP)
|
100% |
20698
245.9 IPS |
|
|
Face Detection (Q)
|
100% |
16744
199.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23224
178.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25393
195.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
23259
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
76883
98.8 IPS |
|
|
Style Transfer (HP)
|
100% |
88368
113.6 IPS |
|
|
Style Transfer (Q)
|
96% |
85732
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13645
503.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14649
540.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12475
460.6 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5042
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5069
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4496
77.7 IPS |
