MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4169
Single Precision Score
7003
Half Precision Score
5707
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | krish1108 |
| Upload Date | April 24 2025 04:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
2840
528.2 IPS |
|
|
Image Classification (Q)
|
96% |
1964
366.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3260
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9030
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17473
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14990
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.8 IPS |
|
|
Object Detection (HP)
|
97% |
3197
254.5 IPS |
|
|
Object Detection (Q)
|
94% |
2307
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3800
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
6569
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3964
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7174
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12754
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8947
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22355
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33926
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28054
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4349
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
2864
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5061
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4995
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7691
132.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7661
132.4 IPS |
