MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4169
Single Precision Score
30123
Half Precision Score
33448
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 05 2025 08:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
16021
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
19086
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21617
350.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27371
443.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8960
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122669
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
119930
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
17287
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19496
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
38639
459.1 IPS |
|
|
Face Detection (Q)
|
100% |
44089
523.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7228
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96763
745.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
120542
942.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22384
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226022
290.6 IPS |
|
|
Style Transfer (Q)
|
96% |
218529
282.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44426
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53859
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2799
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4811
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4779
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4801
83.0 IPS |
