MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3957
Single Precision Score
5570
Half Precision Score
4809
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:31 PM |
| Views | 4 |
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% |
1670
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2203
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8632
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17066
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14735
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
97% |
2572
204.8 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5090
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3384
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6733
51.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9647
74.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7406
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21594
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31518
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26195
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4349
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4604
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4563
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4806
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4849
83.8 IPS |
