MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
12218
Single Precision Score
14178
Half Precision Score
13281
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmejia01 |
| Upload Date | July 28 2025 06:45 PM |
| Views | 11 |
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% |
6147
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6889
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6094
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10661
172.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11842
192.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11408
184.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45347
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
47004
54.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
46255
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
6053
480.1 IPS |
|
|
Object Detection (HP)
|
100% |
6728
533.6 IPS |
|
|
Object Detection (Q)
|
92% |
5845
466.5 IPS |
|
|
Face Detection (SP)
|
100% |
17450
207.3 IPS |
|
|
Face Detection (HP)
|
100% |
22478
267.1 IPS |
|
|
Face Detection (Q)
|
100% |
18125
215.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27797
214.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29654
228.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
27596
215.6 IPS |
|
|
Style Transfer (SP)
|
100% |
91812
118.0 IPS |
|
|
Style Transfer (HP)
|
100% |
104413
134.2 IPS |
|
|
Style Transfer (Q)
|
96% |
100135
129.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15307
565.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16163
596.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14054
518.9 IPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5097
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5011
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2100
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2576
44.5 IPS |
