MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4166
Single Precision Score
6916
Half Precision Score
6047
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 12:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
2797
520.2 IPS |
|
|
Image Classification (Q)
|
99% |
2800
522.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3030
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8860
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17201
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14654
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
97% |
3183
253.4 IPS |
|
|
Object Detection (Q)
|
94% |
2279
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
6660
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3955
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7193
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13368
103.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13341
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22378
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33362
42.9 IPS |
|
|
Style Transfer (Q)
|
100% |
33434
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4214
156.1 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4900
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4856
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6398
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6400
110.6 IPS |
