MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11748
Single Precision Score
13540
Half Precision Score
12566
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 06:58 PM |
| Views | 1 |
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% |
5544
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5932
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5459
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9265
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10057
163.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9510
154.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34933
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36052
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
35629
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
5485
435.1 IPS |
|
|
Object Detection (HP)
|
100% |
6003
476.2 IPS |
|
|
Object Detection (Q)
|
92% |
5324
425.0 IPS |
|
|
Face Detection (SP)
|
100% |
15925
189.2 IPS |
|
|
Face Detection (HP)
|
100% |
20061
238.4 IPS |
|
|
Face Detection (Q)
|
100% |
16246
193.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23119
178.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24695
190.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
22817
178.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77437
99.5 IPS |
|
|
Style Transfer (HP)
|
100% |
86449
111.1 IPS |
|
|
Style Transfer (Q)
|
96% |
83093
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13774
508.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14772
545.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12992
479.7 IPS |
|
|
Text Classification (SP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5138
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5049
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4935
85.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4937
85.3 IPS |
