MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4156
Single Precision Score
30289
Half Precision Score
34241
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kirdol |
| Upload Date | December 24 2024 10:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
16536
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
19010
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21592
350.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27211
441.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8935
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122248
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
119855
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
17498
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20433
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
38763
460.6 IPS |
|
|
Face Detection (Q)
|
100% |
50281
597.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7197
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97049
747.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
123458
965.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22394
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
227404
292.3 IPS |
|
|
Style Transfer (Q)
|
96% |
218513
282.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5264
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45312
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56820
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4919
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4884
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4647
80.3 IPS |
