MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13250
Single Precision Score
15527
Half Precision Score
14258
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 24 2025 07:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6418
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
7101
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6076
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10781
174.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11924
193.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11347
183.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
43933
51.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49181
57.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
47345
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
6018
477.4 IPS |
|
|
Object Detection (HP)
|
100% |
6368
505.1 IPS |
|
|
Object Detection (Q)
|
92% |
5892
470.3 IPS |
|
|
Face Detection (SP)
|
100% |
17787
211.4 IPS |
|
|
Face Detection (HP)
|
100% |
23143
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
18719
222.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27620
212.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30338
233.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
27476
214.6 IPS |
|
|
Style Transfer (SP)
|
100% |
92114
118.4 IPS |
|
|
Style Transfer (HP)
|
100% |
106728
137.2 IPS |
|
|
Style Transfer (Q)
|
96% |
103267
133.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14655
541.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16168
597.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13686
505.4 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4983
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5033
86.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4985
86.1 IPS |
