MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4137
Single Precision Score
32414
Half Precision Score
36909
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | luemonkey123 |
| Upload Date | December 21 2024 02:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
16333
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
20225
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22088
358.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26791
434.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8788
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122372
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
119956
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
17705
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20247
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3648
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
37655
447.4 IPS |
|
|
Face Detection (Q)
|
100% |
48739
579.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97099
748.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
121130
947.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22396
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226504
291.2 IPS |
|
|
Style Transfer (Q)
|
96% |
218666
282.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5227
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46139
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56907
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2798
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4898
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8746
150.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9910
171.3 IPS |
