MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4167
Single Precision Score
32013
Half Precision Score
36687
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FN389 |
| Upload Date | October 31 2024 12:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
16187
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
19476
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21775
353.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27130
439.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8919
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122450
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
120494
141.2 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
17396
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
19950
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
37320
443.4 IPS |
|
|
Face Detection (Q)
|
100% |
50342
598.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7262
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96978
747.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
122232
955.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22347
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225867
290.4 IPS |
|
|
Style Transfer (Q)
|
96% |
220420
284.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45698
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57277
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4837
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4988
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3590
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8333
143.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8975
155.1 IPS |
