MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4047
Single Precision Score
30393
Half Precision Score
33960
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BrantB |
| Upload Date | December 11 2025 04:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.03 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1547
287.6 IPS |
|
|
Image Classification (HP)
|
100% |
15590
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
17041
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22845
370.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28475
461.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8425
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
120073
140.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
118432
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
16505
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
20130
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
39469
469.0 IPS |
|
|
Face Detection (Q)
|
100% |
51765
615.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96603
744.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
120179
939.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22046
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
220894
284.0 IPS |
|
|
Style Transfer (Q)
|
96% |
215449
278.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45400
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52342
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4942
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5087
87.9 IPS |
