MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11906
Single Precision Score
13567
Half Precision Score
12604
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 01:06 AM |
| 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 (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5701
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5936
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5356
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9347
151.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10084
163.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9575
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35062
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
36136
42.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
35766
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
5684
450.9 IPS |
|
|
Object Detection (HP)
|
100% |
6142
487.2 IPS |
|
|
Object Detection (Q)
|
92% |
5533
441.7 IPS |
|
|
Face Detection (SP)
|
100% |
16724
198.7 IPS |
|
|
Face Detection (HP)
|
100% |
20582
244.6 IPS |
|
|
Face Detection (Q)
|
100% |
16341
194.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23413
180.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24859
191.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
23017
179.8 IPS |
|
|
Style Transfer (SP)
|
100% |
77887
100.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85442
109.8 IPS |
|
|
Style Transfer (Q)
|
96% |
82978
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13763
508.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14530
536.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12890
476.0 IPS |
|
|
Text Classification (SP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5092
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5015
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4515
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4919
84.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4942
85.4 IPS |
