MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4184
Single Precision Score
30139
Half Precision Score
33733
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mmolina |
| Upload Date | January 30 2025 12:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
15966
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
18221
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22125
358.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27555
446.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8983
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121202
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119884
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
17221
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19534
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3775
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
38626
459.0 IPS |
|
|
Face Detection (Q)
|
100% |
49844
592.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7273
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96646
744.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
120528
942.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22463
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
224917
289.1 IPS |
|
|
Style Transfer (Q)
|
96% |
218210
281.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5323
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44311
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53540
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4815
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4837
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4781
82.6 IPS |
