MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10942
Single Precision Score
12385
Half Precision Score
11393
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 1802 |
| Upload Date | September 15 2025 08:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5687
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5938
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5428
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9227
149.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9872
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9771
158.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34922
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36046
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
35685
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
5536
439.1 IPS |
|
|
Object Detection (HP)
|
100% |
5972
473.7 IPS |
|
|
Object Detection (Q)
|
92% |
5380
429.4 IPS |
|
|
Face Detection (SP)
|
100% |
16004
190.2 IPS |
|
|
Face Detection (HP)
|
100% |
20067
238.4 IPS |
|
|
Face Detection (Q)
|
100% |
16234
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23297
179.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24470
188.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
22728
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77409
99.5 IPS |
|
|
Style Transfer (HP)
|
100% |
85323
109.7 IPS |
|
|
Style Transfer (Q)
|
96% |
83054
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13738
507.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14615
539.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12662
467.5 IPS |
|
|
Text Classification (SP)
|
100% |
2843
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5217
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2165
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1788
30.9 IPS |
