MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4185
Single Precision Score
30233
Half Precision Score
33979
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gorghimself |
| Upload Date | January 29 2025 05:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
16014
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
18311
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22125
358.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27215
441.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8971
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121183
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119576
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
17123
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19903
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
38685
459.7 IPS |
|
|
Face Detection (Q)
|
100% |
50556
600.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7246
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97296
749.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
120900
945.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22387
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
224210
288.2 IPS |
|
|
Style Transfer (Q)
|
96% |
218502
282.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44477
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54675
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4973
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4942
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4650
80.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4794
82.8 IPS |
