MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11928
Single Precision Score
13876
Half Precision Score
13458
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DigitalWorkspace |
| Upload Date | May 27 2025 10:23 AM |
| Views | 8 |
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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6156
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6696
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6134
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10302
167.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11847
192.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11328
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45390
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
46995
54.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
46336
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
6055
480.3 IPS |
|
|
Object Detection (HP)
|
100% |
6449
511.5 IPS |
|
|
Object Detection (Q)
|
92% |
5743
458.4 IPS |
|
|
Face Detection (SP)
|
100% |
17400
206.8 IPS |
|
|
Face Detection (HP)
|
100% |
22153
263.2 IPS |
|
|
Face Detection (Q)
|
100% |
18081
214.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27684
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29707
228.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
27104
211.7 IPS |
|
|
Style Transfer (SP)
|
100% |
93153
119.7 IPS |
|
|
Style Transfer (HP)
|
100% |
104361
134.2 IPS |
|
|
Style Transfer (Q)
|
96% |
101625
131.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15420
569.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16729
617.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14144
522.3 IPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5101
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4951
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3023
52.2 IPS |
