MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3928
Single Precision Score
6959
Half Precision Score
5661
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ascarter |
| Upload Date | October 19 2025 08:23 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 | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.1 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2988
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3263
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8177
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
17166
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14819
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.4 IPS |
|
|
Object Detection (HP)
|
97% |
3164
251.9 IPS |
|
|
Object Detection (Q)
|
94% |
2318
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6620
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6880
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12546
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8865
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21391
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32965
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27573
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5932
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4330
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5119
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5083
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6785
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6972
120.5 IPS |
