MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3982
Single Precision Score
7022
Half Precision Score
5729
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 17 2025 03:29 PM |
| Views | 2 |
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, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.7 IPS |
|
|
Image Classification (Q)
|
96% |
2070
386.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3404
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8392
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17365
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15001
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
97% |
3178
253.0 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6698
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3914
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6851
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12457
96.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9042
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21586
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33537
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27930
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4825
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5211
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6896
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6835
118.1 IPS |
