MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13528
Single Precision Score
15650
Half Precision Score
14627
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 03:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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% |
6314
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6817
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6267
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11104
180.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12319
199.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11699
189.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45440
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
47044
54.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
46360
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
6331
502.2 IPS |
|
|
Object Detection (HP)
|
100% |
6732
534.0 IPS |
|
|
Object Detection (Q)
|
92% |
6091
486.2 IPS |
|
|
Face Detection (SP)
|
100% |
17619
209.4 IPS |
|
|
Face Detection (HP)
|
100% |
22335
265.4 IPS |
|
|
Face Detection (Q)
|
100% |
18862
224.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28903
222.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31198
240.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
28993
226.5 IPS |
|
|
Style Transfer (SP)
|
100% |
94137
121.0 IPS |
|
|
Style Transfer (HP)
|
100% |
106247
136.6 IPS |
|
|
Style Transfer (Q)
|
96% |
102743
132.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15844
585.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17184
634.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14840
548.0 IPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5164
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5176
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4648
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5045
86.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5019
86.7 IPS |
