MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4058
Single Precision Score
30411
Half Precision Score
33970
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | remusn |
| Upload Date | October 20 2025 01:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1562
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
15438
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
17797
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22938
371.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26159
424.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8433
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
120221
140.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
119500
140.1 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
16986
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
19601
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
39479
469.1 IPS |
|
|
Face Detection (Q)
|
100% |
52133
619.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7145
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96002
739.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
120174
939.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22098
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
226371
291.0 IPS |
|
|
Style Transfer (Q)
|
96% |
217838
281.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44366
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52812
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
4990
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4940
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4927
84.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5271
91.1 IPS |
