MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4152
Single Precision Score
26488
Half Precision Score
29382
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mashimaro75 |
| Upload Date | January 18 2025 04:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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% |
1600
297.6 IPS |
|
|
Image Classification (HP)
|
100% |
15447
2.87 KIPS |
|
|
Image Classification (Q)
|
99% |
16581
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17203
278.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
17454
282.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8986
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118129
137.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
115779
135.8 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
16027
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
19619
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
25195
299.4 IPS |
|
|
Face Detection (Q)
|
100% |
39429
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
80853
622.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
90033
696.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22292
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
167433
215.2 IPS |
|
|
Style Transfer (Q)
|
100% |
167667
215.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45428
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54321
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4770
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4573
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4773
82.5 IPS |
