MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4198
Single Precision Score
32094
Half Precision Score
36220
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 24 2024 07:32 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1595
296.6 IPS |
|
|
Image Classification (HP)
|
100% |
17561
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
19274
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21721
352.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27539
446.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9015
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121468
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119666
140.3 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
100% |
17311
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19861
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
39230
466.1 IPS |
|
|
Face Detection (Q)
|
100% |
47498
564.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7250
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97062
747.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121442
949.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22508
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225634
290.1 IPS |
|
|
Style Transfer (Q)
|
96% |
218398
281.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44354
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56106
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4828
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4884
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7859
135.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8925
154.2 IPS |
