MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4150
Single Precision Score
31760
Half Precision Score
35482
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pythagoras |
| Upload Date | October 27 2024 02:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1558
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
16003
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17711
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21688
351.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27453
445.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8956
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120997
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119792
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
17197
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19329
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
38853
461.7 IPS |
|
|
Face Detection (Q)
|
100% |
44752
531.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96413
742.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
120858
944.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22364
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225940
290.4 IPS |
|
|
Style Transfer (Q)
|
96% |
218115
281.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5219
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43617
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54324
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4744
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8227
141.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9243
159.7 IPS |
