MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3964
Single Precision Score
5562
Half Precision Score
4826
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | gefrancis |
| Upload Date | January 31 2026 04:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.5 (Build 23H527) |
| 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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
2135
397.0 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2209
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8659
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17098
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14752
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
2578
205.2 IPS |
|
|
Object Detection (Q)
|
94% |
1974
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5105
60.7 IPS |
|
|
Face Detection (Q)
|
100% |
3397
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6752
52.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
9629
74.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7413
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21675
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31437
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26253
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5723
211.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4356
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4614
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4621
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4839
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4814
83.2 IPS |
