MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3933
Single Precision Score
5563
Half Precision Score
4601
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Daedalus73 |
| Upload Date | August 15 2024 07:19 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
2138
397.7 IPS |
|
|
Image Classification (Q)
|
99% |
2131
397.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8588
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17064
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14526
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
2576
205.1 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5057
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
3323
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6723
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9648
74.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4744
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21523
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31204
40.1 IPS |
|
|
Style Transfer (Q)
|
100% |
31290
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4288
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4576
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4487
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5111
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4877
84.3 IPS |
