MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4009
Single Precision Score
30562
Half Precision Score
34094
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Peanutss |
| Upload Date | March 02 2026 03:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1542
286.8 IPS |
|
|
Image Classification (HP)
|
100% |
15910
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
17473
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22341
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27810
450.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8433
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
121358
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
120877
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
17187
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
20102
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39508
469.4 IPS |
|
|
Face Detection (Q)
|
100% |
51595
613.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6973
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96434
743.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
120921
945.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21984
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226291
290.9 IPS |
|
|
Style Transfer (Q)
|
96% |
217982
281.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45895
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52744
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
4961
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4922
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4886
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5092
88.0 IPS |
