MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13246
Single Precision Score
15455
Half Precision Score
14326
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | June 10 2025 12:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6528
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6811
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6072
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10610
172.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12099
196.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11301
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44343
51.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
46580
54.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
46248
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
6034
478.6 IPS |
|
|
Object Detection (HP)
|
100% |
6736
534.3 IPS |
|
|
Object Detection (Q)
|
92% |
6082
485.4 IPS |
|
|
Face Detection (SP)
|
100% |
16621
197.5 IPS |
|
|
Face Detection (HP)
|
100% |
22145
263.1 IPS |
|
|
Face Detection (Q)
|
100% |
18124
215.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27655
213.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29722
229.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
27491
214.7 IPS |
|
|
Style Transfer (SP)
|
100% |
93136
119.7 IPS |
|
|
Style Transfer (HP)
|
100% |
105793
136.0 IPS |
|
|
Style Transfer (Q)
|
96% |
101296
130.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15703
579.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16476
608.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14271
527.0 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5210
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5181
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5031
86.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5058
87.4 IPS |
