MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4034
Single Precision Score
30823
Half Precision Score
34830
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jenswollenweber |
| Upload Date | December 03 2025 01:08 PM |
| Views | 5 |
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 | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1560
290.1 IPS |
|
|
Image Classification (HP)
|
100% |
15877
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
19117
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22530
365.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28038
454.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8270
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
121295
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120800
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
17791
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20690
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39215
466.0 IPS |
|
|
Face Detection (Q)
|
100% |
51725
614.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7141
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95779
737.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
119292
932.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22035
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226343
291.0 IPS |
|
|
Style Transfer (Q)
|
96% |
218981
282.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47511
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55264
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3008
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5078
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5133
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4890
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5117
88.4 IPS |
