MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4160
Single Precision Score
6864
Half Precision Score
5583
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | November 14 2024 06:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2805
521.7 IPS |
|
|
Image Classification (Q)
|
96% |
1940
362.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8949
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17306
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14918
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
97% |
3207
255.3 IPS |
|
|
Object Detection (Q)
|
94% |
2292
182.7 IPS |
|
|
Face Detection (SP)
|
100% |
3728
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6713
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13369
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9187
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22391
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33431
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27453
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4315
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4731
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4705
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6375
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6407
110.7 IPS |
