MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3902
Single Precision Score
30208
Half Precision Score
34001
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ludacrisvp |
| Upload Date | May 01 2025 12:58 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.04 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
16687
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
19204
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20727
336.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25844
419.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8550
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
121814
142.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
119150
139.7 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
17655
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20330
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
36481
433.5 IPS |
|
|
Face Detection (Q)
|
100% |
49001
582.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6703
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96977
747.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
121384
949.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21567
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
226011
290.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218238
281.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46530
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57746
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2866
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5173
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4421
76.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4470
77.2 IPS |
