MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4154
Single Precision Score
7005
Half Precision Score
5735
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jlmoore7299 |
| Upload Date | May 30 2025 01:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1624
302.0 IPS |
|
|
Image Classification (HP)
|
100% |
2843
528.7 IPS |
|
|
Image Classification (Q)
|
96% |
1961
366.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3263
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9012
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17456
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14981
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3197
254.5 IPS |
|
|
Object Detection (Q)
|
94% |
2297
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6644
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3983
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12750
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8930
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22283
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34075
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28139
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
2847
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4991
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5155
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7769
134.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7768
134.2 IPS |
