MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4154
Single Precision Score
7026
Half Precision Score
5712
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmejia01 |
| Upload Date | April 01 2025 08:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.7 IPS |
|
|
Image Classification (Q)
|
96% |
1963
366.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3246
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9017
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17451
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14990
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3205
255.2 IPS |
|
|
Object Detection (Q)
|
94% |
2296
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6573
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3927
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7162
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12745
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8915
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21906
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33772
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27969
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5368
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6135
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4356
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5090
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7066
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7585
131.1 IPS |
