MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4226
Single Precision Score
33589
Half Precision Score
38323
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
16580
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
19659
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22792
369.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28563
463.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8925
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
124010
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121836
142.8 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
18462
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
21545
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3767
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
40196
477.6 IPS |
|
|
Face Detection (Q)
|
100% |
52490
623.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7279
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97704
752.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
123609
966.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22451
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230784
296.7 IPS |
|
|
Style Transfer (Q)
|
96% |
225160
290.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5348
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47982
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58400
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4966
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9725
167.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10942
189.1 IPS |
