MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13605
Single Precision Score
15682
Half Precision Score
14514
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 03:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6537
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6885
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6226
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11132
180.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12372
200.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11670
189.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45434
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
47210
55.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
46687
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6354
504.0 IPS |
|
|
Object Detection (HP)
|
100% |
6817
540.8 IPS |
|
|
Object Detection (Q)
|
92% |
6030
481.3 IPS |
|
|
Face Detection (SP)
|
100% |
17609
209.2 IPS |
|
|
Face Detection (HP)
|
100% |
22709
269.8 IPS |
|
|
Face Detection (Q)
|
100% |
18586
220.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28948
223.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
31177
240.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
28534
222.9 IPS |
|
|
Style Transfer (SP)
|
100% |
93714
120.5 IPS |
|
|
Style Transfer (HP)
|
100% |
106363
136.7 IPS |
|
|
Style Transfer (Q)
|
96% |
102929
132.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16297
601.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17134
632.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14565
537.8 IPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5150
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5103
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4941
85.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5001
86.4 IPS |
