MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4043
Single Precision Score
29287
Half Precision Score
32879
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | elCafetero |
| Upload Date | March 17 2026 06:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1543
287.0 IPS |
|
|
Image Classification (HP)
|
100% |
15737
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
17747
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22880
370.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28497
462.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8447
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
122069
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120281
141.0 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
17412
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
19620
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
39152
465.2 IPS |
|
|
Face Detection (Q)
|
100% |
52308
621.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7041
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95569
736.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
119301
932.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22150
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
226121
290.7 IPS |
|
|
Style Transfer (Q)
|
96% |
217482
280.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42977
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50782
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
4912
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4916
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3651
63.1 IPS |
