MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11931
Single Precision Score
13901
Half Precision Score
13271
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ascarter |
| Upload Date | October 19 2025 08:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6475
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6851
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6217
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10849
175.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12065
195.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11563
187.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
42696
49.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48468
56.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
46950
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
6103
484.1 IPS |
|
|
Object Detection (HP)
|
100% |
6515
516.8 IPS |
|
|
Object Detection (Q)
|
92% |
6133
489.5 IPS |
|
|
Face Detection (SP)
|
100% |
16982
201.8 IPS |
|
|
Face Detection (HP)
|
100% |
22964
272.9 IPS |
|
|
Face Detection (Q)
|
100% |
18251
216.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26177
201.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28873
222.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
26263
205.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89626
115.2 IPS |
|
|
Style Transfer (HP)
|
100% |
105634
135.8 IPS |
|
|
Style Transfer (Q)
|
96% |
101284
130.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14925
551.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16155
596.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13839
511.0 IPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
5069
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2537
43.8 IPS |
