MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3946
Single Precision Score
5554
Half Precision Score
4655
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gouarfig |
| Upload Date | August 19 2024 08:55 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
2125
395.1 IPS |
|
|
Image Classification (Q)
|
99% |
2127
396.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1536
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8639
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17067
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14540
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
2558
203.6 IPS |
|
|
Object Detection (Q)
|
94% |
1963
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3427
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6715
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9622
74.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5098
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21536
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31524
40.5 IPS |
|
|
Style Transfer (Q)
|
100% |
31462
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4295
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4593
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4533
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3219
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4789
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4792
82.8 IPS |
