MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4186
Single Precision Score
26682
Half Precision Score
29858
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mashimaro75 |
| Upload Date | December 11 2024 01:54 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 24C100) |
| 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% |
1611
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
15817
2.94 KIPS |
|
|
Image Classification (Q)
|
99% |
18338
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17494
283.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
17449
282.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9006
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116574
136.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
116202
136.3 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
16270
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
20155
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3791
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
25753
306.0 IPS |
|
|
Face Detection (Q)
|
100% |
39008
463.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7279
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
81758
629.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
90566
700.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22414
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
167267
215.0 IPS |
|
|
Style Transfer (Q)
|
100% |
167459
215.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44825
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54278
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4919
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4758
82.2 IPS |
