MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4061
Single Precision Score
7131
Half Precision Score
5862
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 08:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1562
290.5 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.4 IPS |
|
|
Image Classification (Q)
|
96% |
2072
386.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8424
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17472
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15170
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1738
137.9 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.6 IPS |
|
|
Object Detection (Q)
|
94% |
2403
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
3758
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7156
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4206
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7140
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12900
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9166
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22067
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33876
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28300
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5037
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5002
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7903
136.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7910
136.7 IPS |
