MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4218
Single Precision Score
30474
Half Precision Score
34340
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
16436
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
18695
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22191
359.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27356
443.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9072
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121145
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120643
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
1859
147.5 IPS |
|
|
Object Detection (HP)
|
100% |
17290
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19858
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
39273
466.6 IPS |
|
|
Face Detection (Q)
|
100% |
51469
611.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7308
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97301
749.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
121705
951.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22554
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
227401
292.3 IPS |
|
|
Style Transfer (Q)
|
96% |
219866
283.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44617
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54357
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4930
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4773
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5043
87.2 IPS |
