MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4066
Single Precision Score
30403
Half Precision Score
34779
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | advantis |
| Upload Date | February 08 2026 10:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 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% |
1545
287.2 IPS |
|
|
Image Classification (HP)
|
100% |
15908
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
19157
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22869
370.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28432
460.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8442
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
121901
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
121239
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
17165
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
20136
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
39620
470.8 IPS |
|
|
Face Detection (Q)
|
100% |
52144
619.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7088
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96570
744.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121584
950.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21966
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
225797
290.3 IPS |
|
|
Style Transfer (Q)
|
96% |
218238
281.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41465
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53750
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5054
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5021
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3367
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4897
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5215
90.1 IPS |
