MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4024
Single Precision Score
30563
Half Precision Score
34582
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 09:10 PM |
| Views | 12 |
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, 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% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
15874
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
18718
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21985
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28196
457.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8315
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
121143
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120692
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.6 IPS |
|
|
Object Detection (HP)
|
100% |
17391
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20130
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39655
471.2 IPS |
|
|
Face Detection (Q)
|
100% |
52070
618.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7088
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96665
744.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
116177
908.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21569
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227027
291.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219903
283.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4906
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45527
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55523
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5093
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5066
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5100
88.1 IPS |
