MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13624
Single Precision Score
15939
Half Precision Score
14687
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 01:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6736
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
7315
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
6474
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11020
178.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12187
197.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11732
190.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
43891
51.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49511
57.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47918
56.1 IPS |
|
|
Object Detection (SP)
|
100% |
6270
497.3 IPS |
|
|
Object Detection (HP)
|
100% |
6614
524.6 IPS |
|
|
Object Detection (Q)
|
92% |
6068
484.4 IPS |
|
|
Face Detection (SP)
|
100% |
17840
212.0 IPS |
|
|
Face Detection (HP)
|
100% |
23483
279.0 IPS |
|
|
Face Detection (Q)
|
100% |
18944
225.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28700
221.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
31022
239.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
28253
220.7 IPS |
|
|
Style Transfer (SP)
|
100% |
92894
119.4 IPS |
|
|
Style Transfer (HP)
|
100% |
108267
139.2 IPS |
|
|
Style Transfer (Q)
|
96% |
103654
133.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15575
575.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17418
643.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14806
546.7 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5104
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5022
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5127
88.6 IPS |
