MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
9625
Single Precision Score
10677
Half Precision Score
9452
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | matwyn |
| Upload Date | August 16 2024 10:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| 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% |
5890
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6562
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
5949
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7827
126.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10162
164.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
9821
159.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44957
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48803
56.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
44573
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
5798
459.9 IPS |
|
|
Object Detection (HP)
|
100% |
6441
510.9 IPS |
|
|
Object Detection (Q)
|
92% |
5229
417.3 IPS |
|
|
Face Detection (SP)
|
100% |
16332
194.1 IPS |
|
|
Face Detection (HP)
|
100% |
20848
247.7 IPS |
|
|
Face Detection (Q)
|
100% |
14816
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27488
211.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31887
245.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
31991
247.4 IPS |
|
|
Style Transfer (SP)
|
100% |
94540
121.5 IPS |
|
|
Style Transfer (HP)
|
100% |
106464
136.9 IPS |
|
|
Style Transfer (Q)
|
100% |
106725
137.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15926
588.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17418
643.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12760
472.7 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
653
872.0 IPS |
|
|
Text Classification (Q)
|
93% |
662
889.1 IPS |
|
|
Machine Translation (SP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
