MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8763
Single Precision Score
9839
Half Precision Score
3100
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | krish1108 |
| Upload Date | February 27 2025 02:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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% |
5124
953.0 IPS |
|
|
Image Classification (HP)
|
100% |
5497
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4160
776.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6688
108.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8255
133.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8438
136.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34700
40.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
36856
43.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
33814
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
5315
421.6 IPS |
|
|
Object Detection (HP)
|
100% |
5583
442.8 IPS |
|
|
Object Detection (Q)
|
92% |
4473
357.0 IPS |
|
|
Face Detection (SP)
|
100% |
15038
178.7 IPS |
|
|
Face Detection (HP)
|
100% |
17876
212.4 IPS |
|
|
Face Detection (Q)
|
100% |
12884
153.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22490
173.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24718
190.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
76375
98.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86015
110.6 IPS |
|
|
Style Transfer (Q)
|
96% |
80133
103.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13663
504.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14735
544.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11001
406.2 IPS |
|
|
Text Classification (SP)
|
100% |
556
741.5 IPS |
|
|
Text Classification (HP)
|
100% |
731
976.0 IPS |
|
|
Text Classification (Q)
|
93% |
649
871.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2097
36.2 IPS |
