MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4022
Single Precision Score
7148
Half Precision Score
5778
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | advantis |
| Upload Date | February 08 2026 09:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.9 IPS |
|
|
Image Classification (Q)
|
96% |
2058
384.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8313
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
17435
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15062
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.5 IPS |
|
|
Object Detection (Q)
|
94% |
2383
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
7019
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
4034
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6946
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12792
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9066
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21881
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33639
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28031
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5958
220.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4323
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5063
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4960
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7719
133.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7615
131.6 IPS |
