MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4164
Single Precision Score
31843
Half Precision Score
36240
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | justadri |
| Upload Date | December 13 2024 10:51 AM |
| Views | 5 |
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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
15596
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
18231
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21772
352.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27475
445.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8958
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121061
141.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
119805
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
17434
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
19918
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3766
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
37173
441.7 IPS |
|
|
Face Detection (Q)
|
100% |
50108
595.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7262
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96701
745.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121204
947.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22448
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225601
290.0 IPS |
|
|
Style Transfer (Q)
|
96% |
218723
282.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44825
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54192
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4964
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4860
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8291
142.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9346
161.5 IPS |
