MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11816
Single Precision Score
13293
Half Precision Score
12569
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | remusn |
| Upload Date | October 20 2025 01:45 PM |
| Views | 6 |
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, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5610
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
6022
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5445
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9296
150.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9973
161.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9594
155.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33694
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
37377
43.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
36167
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
5502
436.4 IPS |
|
|
Object Detection (HP)
|
100% |
5789
459.2 IPS |
|
|
Object Detection (Q)
|
92% |
5399
430.9 IPS |
|
|
Face Detection (SP)
|
100% |
16546
196.6 IPS |
|
|
Face Detection (HP)
|
100% |
20411
242.5 IPS |
|
|
Face Detection (Q)
|
100% |
16589
197.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22918
176.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25076
193.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
22645
176.9 IPS |
|
|
Style Transfer (SP)
|
100% |
76185
97.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86871
111.7 IPS |
|
|
Style Transfer (Q)
|
96% |
84296
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13663
504.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14686
542.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12514
462.1 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5029
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4888
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4040
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4981
86.1 IPS |
