MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3949
Single Precision Score
5532
Half Precision Score
4590
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tellumo |
| Upload Date | August 17 2024 04:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
2143
398.5 IPS |
|
|
Image Classification (Q)
|
99% |
2138
398.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1482
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8647
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17081
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14528
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
97% |
2580
205.4 IPS |
|
|
Object Detection (Q)
|
94% |
1975
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
4989
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
3331
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6737
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9655
74.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4753
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21558
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31205
40.1 IPS |
|
|
Style Transfer (Q)
|
100% |
31278
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5070
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4290
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4522
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4498
6.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4786
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4788
82.7 IPS |
