MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13884
Single Precision Score
16267
Half Precision Score
14991
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2026 09:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.71 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6849
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7470
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
6633
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11289
183.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12532
203.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11916
193.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44407
51.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
49887
58.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
48351
56.6 IPS |
|
|
Object Detection (SP)
|
100% |
6489
514.7 IPS |
|
|
Object Detection (HP)
|
100% |
6961
552.2 IPS |
|
|
Object Detection (Q)
|
92% |
6329
505.2 IPS |
|
|
Face Detection (SP)
|
100% |
18344
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
24365
289.5 IPS |
|
|
Face Detection (Q)
|
100% |
19511
231.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29479
227.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32531
250.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
29545
230.8 IPS |
|
|
Style Transfer (SP)
|
100% |
93866
120.7 IPS |
|
|
Style Transfer (HP)
|
100% |
109583
140.9 IPS |
|
|
Style Transfer (Q)
|
96% |
105932
136.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15972
589.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17728
654.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15028
554.9 IPS |
|
|
Text Classification (SP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5074
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4951
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4809
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5109
88.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5219
90.2 IPS |
