MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4159
Single Precision Score
24980
Half Precision Score
27619
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mashimaro75 |
| Upload Date | September 29 2024 11:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
1595
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
15782
2.93 KIPS |
|
|
Image Classification (Q)
|
99% |
16441
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17483
283.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
17477
283.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8975
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116672
136.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
115637
135.6 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
16022
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
19588
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
25631
304.5 IPS |
|
|
Face Detection (Q)
|
100% |
39431
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7291
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
80598
621.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
90278
698.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22270
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
166760
214.4 IPS |
|
|
Style Transfer (Q)
|
100% |
166112
213.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44425
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
53901
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2749
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4734
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4740
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2627
45.4 IPS |
