MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13350
Single Precision Score
15484
Half Precision Score
14293
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | luispepe |
| Upload Date | September 06 2025 07:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
6226
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6922
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6215
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10950
177.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12049
195.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11529
186.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45412
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
46929
54.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
46354
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
6054
480.2 IPS |
|
|
Object Detection (HP)
|
100% |
6572
521.3 IPS |
|
|
Object Detection (Q)
|
92% |
5880
469.4 IPS |
|
|
Face Detection (SP)
|
100% |
17053
202.6 IPS |
|
|
Face Detection (HP)
|
100% |
22237
264.2 IPS |
|
|
Face Detection (Q)
|
100% |
17818
211.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28328
218.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
30218
232.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
27774
216.9 IPS |
|
|
Style Transfer (SP)
|
100% |
93877
120.7 IPS |
|
|
Style Transfer (HP)
|
100% |
104492
134.3 IPS |
|
|
Style Transfer (Q)
|
96% |
102256
132.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16006
591.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16519
610.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13996
516.8 IPS |
|
|
Text Classification (SP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5258
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5130
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5015
86.7 IPS |
